GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes
# | sedol |
industry |
gl_region |
date |
year |
url |
source_url |
insider |
outsider |
ceo |
body_clean |
title_clean |
company_rel |
insider_rel |
outsider_rel |
ceo_rel |
sentiment |
company_sentiment |
insider_sentiment |
outsider_sentiment |
ceo_sentiment |
GHG_emissions_similarity |
GHG_emissions_sentiment |
Air_quality_similarity |
Air_quality_sentiment |
Energy_management_similarity |
Energy_management_sentiment |
Water_wastewater_management_similarity |
Water_wastewater_management_sentiment |
Waste_hazardous_management_similarity |
Waste_hazardous_management_sentiment |
Ecological_impact_similarity |
Ecological_impact_sentiment |
Human_rights_community_similarity |
Human_rights_community_sentiment |
Customer_privacy_similarity |
Customer_privacy_sentiment |
Data_security_similarity |
Data_security_sentiment |
Access_affordability_similarity |
Access_affordability_sentiment |
Product_quality_safety_similarity |
Product_quality_safety_sentiment |
Customer_welfare_similarity |
Customer_welfare_sentiment |
Selling_practices_product_label_similarity |
Labor_practices_similarity |
Labor_practices_sentiment |
Modern_slavery_similarity |
Modern_slavery_sentiment |
Employee_health_safety_similarity |
Employee_health_safety_sentiment |
Employee_engagement_diversity_similarity |
Employee_engagement_diversity_sentiment |
Gender_equality_similarity |
Gender_equality_sentiment |
Product_design_lifecycle_similarity |
Product_design_lifecycle_sentiment |
Business_model_resilience_similarity |
Environmental_supply_chain_similarity |
Environmental_supply_chain_sentiment |
Social_supply_chain_similarity |
Social_supply_chain_sentiment |
Materials_sourcing_efficiency_similarity |
Materials_sourcing_efficiency_sentiment |
Physical_impacts_climate_change_similarity |
Physical_impacts_climate_change_sentiment |
Governance_structures_similarity |
Governance_structures_sentiment |
Business_ethics_similarity |
Business_ethics_sentiment |
Competitive_behavior_similarity |
Competitive_behavior_sentiment |
Management_legal_regulatory_similarity |
Management_legal_regulatory_sentiment |
Risk_management_similarity |
Risk_management_sentiment |
Coronavirus_similarity |
Coronavirus_sentiment |
Sustainable_Development_Goal_1_similarity |
Sustainable_Development_Goal_2_similarity |
Sustainable_Development_Goal_2_sentiment |
Sustainable_Development_Goal_3_similarity |
Sustainable_Development_Goal_3_sentiment |
Sustainable_Development_Goal_4_similarity |
Sustainable_Development_Goal_4_sentiment |
Sustainable_Development_Goal_5_similarity |
Sustainable_Development_Goal_6_similarity |
Sustainable_Development_Goal_6_sentiment |
Sustainable_Development_Goal_7_similarity |
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Sustainable_Development_Goal_8_similarity |
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Sustainable_Development_Goal_9_similarity |
Sustainable_Development_Goal_9_sentiment |
Sustainable_Development_Goal_10_similarity |
Sustainable_Development_Goal_10_sentiment |
Sustainable_Development_Goal_11_similarity |
Sustainable_Development_Goal_11_sentiment |
Sustainable_Development_Goal_12_similarity |
Sustainable_Development_Goal_12_sentiment |
Sustainable_Development_Goal_13_similarity |
Sustainable_Development_Goal_13_sentiment |
Sustainable_Development_Goal_14_similarity |
Sustainable_Development_Goal_15_similarity |
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Sustainable_Development_Goal_16_similarity |
Sustainable_Development_Goal_16_sentiment |
Sustainable_Development_Goal_17_similarity |
Sustainable_Development_Goal_17_sentiment |
Controversial_weapons_similarity |
GHG_emissions_tag |
Air_quality_tag |
Energy_management_tag |
Water_wastewater_management_tag |
Waste_hazardous_management_tag |
Ecological_impact_tag |
Environmental_supply_chain_tag |
Materials_sourcing_efficiency_tag |
Physical_impacts_climate_change_tag |
Sustainable_Development_Goal_2_tag |
Sustainable_Development_Goal_6_tag |
Sustainable_Development_Goal_7_tag |
Sustainable_Development_Goal_9_tag |
Sustainable_Development_Goal_11_tag |
Sustainable_Development_Goal_12_tag |
Sustainable_Development_Goal_13_tag |
Sustainable_Development_Goal_14_tag |
Sustainable_Development_Goal_15_tag |
Human_rights_community_tag |
Customer_privacy_tag |
Data_security_tag |
Access_affordability_tag |
Product_quality_safety_tag |
Customer_welfare_tag |
Selling_practices_product_label_tag |
Labor_practices_tag |
Modern_slavery_tag |
Employee_health_safety_tag |
Employee_engagement_diversity_tag |
Gender_equality_tag |
Product_design_lifecycle_tag |
Social_supply_chain_tag |
Sustainable_Development_Goal_1_tag |
Sustainable_Development_Goal_3_tag |
Sustainable_Development_Goal_4_tag |
Sustainable_Development_Goal_5_tag |
Sustainable_Development_Goal_8_tag |
Sustainable_Development_Goal_10_tag |
insider_tag |
outsider_tag |
ceo_tag |
Business_model_resilience_tag |
Governance_structures_tag |
Business_ethics_tag |
Competitive_behavior_tag |
Management_legal_regulatory_tag |
Risk_management_tag |
Coronavirus_tag |
Sustainable_Development_Goal_16_tag |
Sustainable_Development_Goal_17_tag |
Controversial_weapons_tag |
e_num_topics |
s_num_topics |
g_num_topics |
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Air_quality_string |
Energy_management_string |
Water_wastewater_management_string |
Waste_hazardous_management_string |
Ecological_impact_string |
Environmental_supply_chain_string |
Materials_sourcing_efficiency_string |
Physical_impacts_climate_change_string |
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Sustainable_Development_Goal_6_string |
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Human_rights_community_string |
Customer_privacy_string |
Data_security_string |
Access_affordability_string |
Product_quality_safety_string |
Customer_welfare_string |
Selling_practices_product_label_string |
Labor_practices_string |
Modern_slavery_string |
Employee_health_safety_string |
Employee_engagement_diversity_string |
Gender_equality_string |
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Social_supply_chain_string |
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Sustainable_Development_Goal_5_string |
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outsider_string |
ceo_string |
Business_model_resilience_string |
Governance_structures_string |
Business_ethics_string |
Competitive_behavior_string |
Management_legal_regulatory_string |
Risk_management_string |
Coronavirus_string |
Sustainable_Development_Goal_16_string |
Sustainable_Development_Goal_17_string |
Controversial_weapons_string |
e_topics |
s_topics |
g_topics |
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5 | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx |
6 | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
7 | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx |
8 | xxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx |
9 | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx |
10 | Xxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxx |
... | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxx | xxxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Alphabet Inc. | Company Name | |
String | GOOGL | Stock Ticker | |
String | US02079K3059 | ISIN | |
sedol
|
String | BYVY8G0 | |
industry
|
String | Interactive Media and Services | |
gl_region
|
String | United States and Canada | |
String | United States | Country Name | |
date
|
String | 15/08/2022 | |
year
|
Integer | 2022 | |
url
|
String | https://www.theguardian.com/stage/2022/aug/15/you-have-to... | |
source_url
|
String | https://www.theguardian.com | |
insider
|
String | Lawrence Page | |
outsider
|
String | The Vanguard Group | |
ceo
|
String | Sundar Pichai | |
body_clean
|
String | When Yuriko Kotani moved to the UK, she was confounded by... | |
title_clean
|
String | You have to be 100 times funnier in Danish: the pitfalls ... | |
company_rel
|
Float | 0.5 | |
insider_rel
|
Integer | 0 | |
outsider_rel
|
Integer | 0 | |
ceo_rel
|
Integer | 0 | |
sentiment
|
Float | 0.121742362 | |
company_sentiment
|
Float | 0.04 | |
insider_sentiment
|
|||
outsider_sentiment
|
|||
ceo_sentiment
|
|||
GHG_emissions_similarity
|
Float | 0.004217414 | |
GHG_emissions_sentiment
|
|||
Air_quality_similarity
|
Integer | 0 | |
Air_quality_sentiment
|
|||
Energy_management_similarity
|
Integer | 0 | |
Energy_management_sentiment
|
|||
Water_wastewater_management_similarity
|
Float | 0.000740523 | |
Water_wastewater_management_sentiment
|
|||
Waste_hazardous_management_similarity
|
Integer | 0 | |
Waste_hazardous_management_sentiment
|
|||
Ecological_impact_similarity
|
Float | 0.001375279 | |
Ecological_impact_sentiment
|
|||
Human_rights_community_similarity
|
Float | 0.012947901 | |
Human_rights_community_sentiment
|
|||
Customer_privacy_similarity
|
Float | 0.001539746 | |
Customer_privacy_sentiment
|
|||
Data_security_similarity
|
Float | 0.001291008 | |
Data_security_sentiment
|
|||
Access_affordability_similarity
|
Integer | 0 | |
Access_affordability_sentiment
|
|||
Product_quality_safety_similarity
|
Float | 0.001782081 | |
Product_quality_safety_sentiment
|
|||
Customer_welfare_similarity
|
Float | 0.002408929 | |
Customer_welfare_sentiment
|
|||
Selling_practices_product_label_similarity
|
Float | 0.001459717 | |
Labor_practices_similarity
|
Float | 0.000728749 | |
Labor_practices_sentiment
|
|||
Modern_slavery_similarity
|
Integer | 0 | |
Modern_slavery_sentiment
|
|||
Employee_health_safety_similarity
|
Float | 0.005581424 | |
Employee_health_safety_sentiment
|
|||
Employee_engagement_diversity_similarity
|
Float | 0.005901725 | |
Employee_engagement_diversity_sentiment
|
|||
Gender_equality_similarity
|
Integer | 0 | |
Gender_equality_sentiment
|
|||
Product_design_lifecycle_similarity
|
Float | 0.011952556 | |
Product_design_lifecycle_sentiment
|
|||
Business_model_resilience_similarity
|
Integer | 0 | |
Environmental_supply_chain_similarity
|
Float | 0.009775088 | |
Environmental_supply_chain_sentiment
|
|||
Social_supply_chain_similarity
|
Integer | 0 | |
Social_supply_chain_sentiment
|
|||
Materials_sourcing_efficiency_similarity
|
Float | 0.012766541 | |
Materials_sourcing_efficiency_sentiment
|
|||
Physical_impacts_climate_change_similarity
|
Float | 0.006423963 | |
Physical_impacts_climate_change_sentiment
|
|||
Governance_structures_similarity
|
Integer | 0 | |
Governance_structures_sentiment
|
|||
Business_ethics_similarity
|
Integer | 0 | |
Business_ethics_sentiment
|
|||
Competitive_behavior_similarity
|
Integer | 0 | |
Competitive_behavior_sentiment
|
|||
Management_legal_regulatory_similarity
|
Integer | 0 | |
Management_legal_regulatory_sentiment
|
|||
Risk_management_similarity
|
Integer | 0 | |
Risk_management_sentiment
|
|||
Coronavirus_similarity
|
Float | 0.002258277 | |
Coronavirus_sentiment
|
|||
Sustainable_Development_Goal_1_similarity
|
Float | 0.008516639 | |
Sustainable_Development_Goal_2_similarity
|
Float | 0.002369609 | |
Sustainable_Development_Goal_2_sentiment
|
|||
Sustainable_Development_Goal_3_similarity
|
Float | 0.004737271 | |
Sustainable_Development_Goal_3_sentiment
|
|||
Sustainable_Development_Goal_4_similarity
|
Float | 0.007864386 | |
Sustainable_Development_Goal_4_sentiment
|
|||
Sustainable_Development_Goal_5_similarity
|
Float | 0.012155766 | |
Sustainable_Development_Goal_6_similarity
|
Float | 0.00374642 | |
Sustainable_Development_Goal_6_sentiment
|
|||
Sustainable_Development_Goal_7_similarity
|
Float | 0.002399584 | |
Sustainable_Development_Goal_7_sentiment
|
|||
Sustainable_Development_Goal_8_similarity
|
Float | 0.013176175 | |
Sustainable_Development_Goal_8_sentiment
|
|||
Sustainable_Development_Goal_9_similarity
|
Float | 0.005018624 | |
Sustainable_Development_Goal_9_sentiment
|
|||
Sustainable_Development_Goal_10_similarity
|
Float | 0.004452601 | |
Sustainable_Development_Goal_10_sentiment
|
|||
Sustainable_Development_Goal_11_similarity
|
Float | 0.002008527 | |
Sustainable_Development_Goal_11_sentiment
|
|||
Sustainable_Development_Goal_12_similarity
|
Float | 0.015667952 | |
Sustainable_Development_Goal_12_sentiment
|
|||
Sustainable_Development_Goal_13_similarity
|
Float | 0.003855009 | |
Sustainable_Development_Goal_13_sentiment
|
|||
Sustainable_Development_Goal_14_similarity
|
Float | 0.001929291 | |
Sustainable_Development_Goal_15_similarity
|
Float | 0.002267753 | |
Sustainable_Development_Goal_15_sentiment
|
|||
Sustainable_Development_Goal_16_similarity
|
Float | 0.009328917 | |
Sustainable_Development_Goal_16_sentiment
|
|||
Sustainable_Development_Goal_17_similarity
|
Float | 0.002170527 | |
Sustainable_Development_Goal_17_sentiment
|
|||
Controversial_weapons_similarity
|
Integer | 0 | |
GHG_emissions_tag
|
Integer | 0 | |
Air_quality_tag
|
Integer | 0 | |
Energy_management_tag
|
Integer | 0 | |
Water_wastewater_management_tag
|
Integer | 0 | |
Waste_hazardous_management_tag
|
Integer | 0 | |
Ecological_impact_tag
|
Integer | 0 | |
Environmental_supply_chain_tag
|
Integer | 0 | |
Materials_sourcing_efficiency_tag
|
Integer | 0 | |
Physical_impacts_climate_change_tag
|
Integer | 0 | |
Sustainable_Development_Goal_2_tag
|
Integer | 0 | |
Sustainable_Development_Goal_6_tag
|
Integer | 0 | |
Sustainable_Development_Goal_7_tag
|
Integer | 0 | |
Sustainable_Development_Goal_9_tag
|
Integer | 0 | |
Sustainable_Development_Goal_11_tag
|
Integer | 0 | |
Sustainable_Development_Goal_12_tag
|
Integer | 0 | |
Sustainable_Development_Goal_13_tag
|
Integer | 0 | |
Sustainable_Development_Goal_14_tag
|
Integer | 0 | |
Sustainable_Development_Goal_15_tag
|
Integer | 0 | |
Human_rights_community_tag
|
Integer | 0 | |
Customer_privacy_tag
|
Integer | 0 | |
Data_security_tag
|
Integer | 0 | |
Access_affordability_tag
|
Integer | 0 | |
Product_quality_safety_tag
|
Integer | 0 | |
Customer_welfare_tag
|
Integer | 0 | |
Selling_practices_product_label_tag
|
Integer | 0 | |
Labor_practices_tag
|
Integer | 0 | |
Modern_slavery_tag
|
Integer | 0 | |
Employee_health_safety_tag
|
Integer | 0 | |
Employee_engagement_diversity_tag
|
Integer | 0 | |
Gender_equality_tag
|
Integer | 0 | |
Product_design_lifecycle_tag
|
Integer | 0 | |
Social_supply_chain_tag
|
Integer | 0 | |
Sustainable_Development_Goal_1_tag
|
Integer | 0 | |
Sustainable_Development_Goal_3_tag
|
Integer | 0 | |
Sustainable_Development_Goal_4_tag
|
Integer | 0 | |
Sustainable_Development_Goal_5_tag
|
Integer | 0 | |
Sustainable_Development_Goal_8_tag
|
Integer | 0 | |
Sustainable_Development_Goal_10_tag
|
Integer | 0 | |
insider_tag
|
Integer | 0 | |
outsider_tag
|
Integer | 0 | |
ceo_tag
|
Integer | 0 | |
Business_model_resilience_tag
|
Integer | 0 | |
Governance_structures_tag
|
Integer | 0 | |
Business_ethics_tag
|
Integer | 0 | |
Competitive_behavior_tag
|
Integer | 0 | |
Management_legal_regulatory_tag
|
Integer | 0 | |
Risk_management_tag
|
Integer | 0 | |
Coronavirus_tag
|
Integer | 0 | |
Sustainable_Development_Goal_16_tag
|
Integer | 0 | |
Sustainable_Development_Goal_17_tag
|
Integer | 0 | |
Controversial_weapons_tag
|
Integer | 0 | |
e_num_topics
|
Integer | 0 | |
s_num_topics
|
Integer | 0 | |
g_num_topics
|
Integer | 0 | |
GHG_emissions_string
|
|||
Air_quality_string
|
|||
Energy_management_string
|
|||
Water_wastewater_management_string
|
|||
Waste_hazardous_management_string
|
|||
Ecological_impact_string
|
|||
Environmental_supply_chain_string
|
|||
Materials_sourcing_efficiency_string
|
|||
Physical_impacts_climate_change_string
|
|||
Sustainable_Development_Goal_2_string
|
|||
Sustainable_Development_Goal_6_string
|
|||
Sustainable_Development_Goal_7_string
|
|||
Sustainable_Development_Goal_9_string
|
|||
Sustainable_Development_Goal_11_string
|
|||
Sustainable_Development_Goal_12_string
|
|||
Sustainable_Development_Goal_13_string
|
|||
Sustainable_Development_Goal_14_string
|
|||
Sustainable_Development_Goal_15_string
|
|||
Human_rights_community_string
|
|||
Customer_privacy_string
|
|||
Data_security_string
|
|||
Access_affordability_string
|
|||
Product_quality_safety_string
|
|||
Customer_welfare_string
|
|||
Selling_practices_product_label_string
|
|||
Labor_practices_string
|
|||
Modern_slavery_string
|
|||
Employee_health_safety_string
|
|||
Employee_engagement_diversity_string
|
|||
Gender_equality_string
|
|||
Product_design_lifecycle_string
|
|||
Social_supply_chain_string
|
|||
Sustainable_Development_Goal_1_string
|
|||
Sustainable_Development_Goal_3_string
|
|||
Sustainable_Development_Goal_4_string
|
|||
Sustainable_Development_Goal_5_string
|
|||
Sustainable_Development_Goal_8_string
|
|||
Sustainable_Development_Goal_10_string
|
|||
insider_string
|
|||
outsider_string
|
|||
ceo_string
|
|||
Business_model_resilience_string
|
|||
Governance_structures_string
|
|||
Business_ethics_string
|
|||
Competitive_behavior_string
|
|||
Management_legal_regulatory_string
|
|||
Risk_management_string
|
|||
Coronavirus_string
|
|||
Sustainable_Development_Goal_16_string
|
|||
Sustainable_Development_Goal_17_string
|
|||
Controversial_weapons_string
|
|||
e_topics
|
|||
s_topics
|
|||
g_topics
|
Attribute | Type | Example | Mapping |
---|---|---|---|
String | BP plc | Company Name | |
URL
|
https://www.theguardian.com/business/2017/jan/25/oil-dema... | ||
Body
|
Company predicts 100-fold rise in number of electric cars... | ||
Title
|
Electric cars will not stem global demand for oil, says BP | ||
Date
|
2017-01-25 | ||
Company Relevance
|
1.0 | ||
GHG Emissions Similarity
|
0.07 | ||
GHG Emissions Sentiment
|
-0.10 |
Description
Country Coverage
History
Volume
17,000 | companies |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$1,000 / month |
Yearly License |
$10,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?
We have built a cutting-edge news system to process the news for all our coverage in real-time. This involves tracking thousands of news sources, social media, and NGOs. We track around 50 ESG news topics including SASB themes and UN SDGs.
What is GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes used for?
This product has 3 key use cases. GaiaLens recommends using the data for ESG Investing, ESG Performance Analysis, and Company Analysis. Global businesses and organizations buy News Data from GaiaLens to fuel their analytics and enrichment.
Who can use GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for News Data. Get in touch with GaiaLens to see what their data can do for your business and find out which integrations they provide.
How far back does the data in GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes go?
This product has 10 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes cover?
This product includes data covering 91 countries like USA, China, Japan, Germany, and India. GaiaLens is headquartered in United Kingdom.
How much does GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes cost?
Pricing for GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes starts at USD1,000 per month. Connect with GaiaLens to get a quote and arrange custom pricing models based on your data requirements.
How can I get GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?
Businesses can buy News Data from GaiaLens and get the data via Email and REST API. Depending on your data requirements and subscription budget, GaiaLens can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?
GaiaLens has reported that this product has the following quality and accuracy assurances: 100% population. You can compare and assess the data quality of GaiaLens using Datarade’s data marketplace.
What are similar products to GaiaLens News Data: real-time (refreshed daily), covers c.17,000 global publicly traded companies, tracks 50 ESG themes?
This product has 3 related products. These alternatives include ESG Data Impact Investing Data 14000+ Companies Monetized Impacts on Natural, Human & Financial Capital, Dappier Breaking News Data RAG API, LLM Compatible Real-Time Updates Unlimited Data, and News Data Web Scraping Data Web Browsing Data Sentiment Score for News. You can compare the best News Data providers and products via Datarade’s data marketplace and get the right data for your use case.