Brand Data | Brand Reputation Data | Entity Resolution & Disambiguation | Trend Analysis
# | "status" |
total_hits |
page |
total_pages |
page_size |
clusters_count |
clusters__cluster_id |
clusters__cluster_size |
clusters__articles__title |
clusters__articles__author |
clusters__articles__authors__001 |
clusters__articles__journalists__001 |
clusters__articles__journalists__002 |
clusters__articles__journalists__003 |
clusters__articles__journalists__004 |
clusters__articles__journalists__005 |
clusters__articles__journalists__006 |
clusters__articles__journalists__007 |
clusters__articles__journalists__008 |
clusters__articles__authors__002 |
clusters__articles__authors__003 |
clusters__articles__authors__004 |
clusters__articles__authors__005 |
clusters__articles__authors__006 |
clusters__articles__authors__007 |
clusters__articles__authors__008 |
clusters__articles__authors__009 |
clusters__articles__published_date |
clusters__articles__published_date_precision |
clusters__articles__updated_date |
clusters__articles__updated_date_precision |
clusters__articles__link |
clusters__articles__domain_url |
clusters__articles__full_domain_url |
clusters__articles__name_source |
clusters__articles__is_headline |
clusters__articles__paid_content |
clusters__articles__parent_url |
clusters__articles__country |
clusters__articles__rights |
clusters__articles__rank |
clusters__articles__media |
clusters__articles__language |
clusters__articles__description |
clusters__articles__content |
clusters__articles__word_count |
clusters__articles__is_opinion |
clusters__articles__twitter_account |
clusters__articles__all_links__- |
clusters__articles__all_links |
clusters__articles__all_domain_links__- |
clusters__articles__all_domain_links |
clusters__articles__nlp__theme |
clusters__articles__nlp__summary |
clusters__articles__nlp__| |
clusters__articles__nlp__|__entity_name |
clusters__articles__nlp__|__count |
clusters__articles__nlp__|__title |
clusters__articles__nlp__|__content |
clusters__articles__nlp__sentiment__title |
clusters__articles__nlp__sentiment__content |
clusters__articles__nlp__ner_PER__entity_name |
clusters__articles__nlp__ner_PER__count |
clusters__articles__nlp__ner_ORG__entity_name |
clusters__articles__nlp__ner_ORG__count |
clusters__articles__nlp__ner_LOC__entity_name |
clusters__articles__nlp__ner_LOC__count |
clusters__articles__nlp__ner_MISC__entity_name |
clusters__articles__nlp__ner_MISC__count |
clusters__articles__id |
clusters__articles__score |
user_input__by_nlp_update_date |
user_input__q |
user_input__search_in__- |
user_input__predefined_sources |
user_input__sources |
user_input__not_sources__- |
user_input__lang__- |
user_input__not_lang |
user_input__countries |
user_input__not_countries |
user_input__not_author_name |
user_input__from_ |
user_input__to_ |
user_input__published_date_precision |
user_input__by_parse_date |
user_input__sort_by |
user_input__ranked_only |
user_input__from_rank |
user_input__to_rank |
user_input__is_headline |
user_input__is_opinion |
user_input__is_paid_content |
user_input__parent_url |
user_input__all_links |
user_input__all_domain_links |
user_input__word_count_min |
user_input__word_count_max |
user_input__page |
user_input__page_size |
user_input__clustering_variable |
user_input__clustering_enabled |
user_input__clustering_threshold |
user_input__include_nlp_data |
user_input__has_nlp |
user_input__embeddings_output |
user_input__theme |
user_input__not_theme |
user_input__ORG_entity_name |
user_input__PER_entity_name |
user_input__LOC_entity_name |
user_input__MISC_entity_name |
user_input__title_sentiment_min |
user_input__title_sentiment_max |
user_input__content_sentiment_min |
user_input__content_sentiment_max |
user_input__highlight_text |
user_input__iptc_tags |
user_input__not_iptc_tags |
user_input__source_name |
user_input__iab_tags |
user_input__not_iab_tags |
user_input__exclude_duplicates |
user_input__additional_domain_info |
user_input__is_news_domain |
user_input__news_domain_type__- |
user_input__news_type |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx |
2 | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx |
3 | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx |
5 | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx |
6 | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx |
7 | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx |
8 | xxxxx | xxxxxxxx | xxxxx | 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 |
9 | 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 | 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 |
10 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
"status"
|
String | ok | |
total_hits
|
Integer | 6802 | |
page
|
Integer | 1 | |
total_pages
|
Integer | 69 | |
page_size
|
Integer | 100 | |
clusters_count
|
Integer | 29 | |
clusters__cluster_id
|
Integer | 14788941680414743039 | |
clusters__cluster_size
|
Integer | 37 | |
clusters__articles__title
|
String | Spotify Wrapped 2024 Release Approaches: When Has It Been... | |
clusters__articles__author
|
String | Source: Edmtunes | |
clusters__articles__authors__001
|
String | Source: Edmtunes | |
clusters__articles__journalists__001
|
String | ||
clusters__articles__journalists__002
|
String | ||
clusters__articles__journalists__003
|
String | ||
clusters__articles__journalists__004
|
String | ||
clusters__articles__journalists__005
|
String | ||
clusters__articles__journalists__006
|
String | ||
clusters__articles__journalists__007
|
String | ||
clusters__articles__journalists__008
|
String | ||
clusters__articles__authors__002
|
String | Source | |
clusters__articles__authors__003
|
String | Newsd | |
clusters__articles__authors__004
|
String | ||
clusters__articles__authors__005
|
String | ||
clusters__articles__authors__006
|
String | ||
clusters__articles__authors__007
|
String | ||
clusters__articles__authors__008
|
String | ||
clusters__articles__authors__009
|
String | ||
clusters__articles__published_date
|
DateTime | 2024-11-18T00:49:00+00:00 | |
clusters__articles__published_date_precision
|
String | timezone unknown | |
clusters__articles__updated_date
|
String | null | |
clusters__articles__updated_date_precision
|
String | null | |
clusters__articles__link
|
String | https://newsd.in/spotify-wrapped-2024-release-approaches-... | |
clusters__articles__domain_url
|
String | newsd.in | |
clusters__articles__full_domain_url
|
String | newsd.in | |
clusters__articles__name_source
|
String | Newsd | |
clusters__articles__is_headline
|
Boolean | t | |
clusters__articles__paid_content
|
Boolean | f | |
clusters__articles__parent_url
|
String | https://newsd.in | |
clusters__articles__country
|
String | IN | |
clusters__articles__rights
|
String | newsd.in | |
clusters__articles__rank
|
Integer | 149475 | |
clusters__articles__media
|
String | https://newsd.in/wp-content/uploads/2018/11/spotify-logo-... | |
clusters__articles__language
|
String | en | |
clusters__articles__description
|
String | Spotify Wrapped 2024 Release: 2024 has been an exciting y... | |
clusters__articles__content
|
String | Spotify Wrapped 2024 Release: 2024 has been an exciting y... | |
clusters__articles__word_count
|
Integer | 489 | |
clusters__articles__is_opinion
|
Boolean | f | |
clusters__articles__twitter_account
|
String | @getnewsd | |
clusters__articles__all_links__-
|
String | ||
clusters__articles__all_links
|
String | https://news.google.com/s/CBIwi_q53yc?r=3&oc=1 | |
clusters__articles__all_domain_links__-
|
String | ||
clusters__articles__all_domain_links
|
String | youtube.com | |
clusters__articles__nlp__theme
|
String | Entertainment | |
clusters__articles__nlp__summary
|
String | Spotify's annual Spotify Wrapped feature allows users to ... | |
clusters__articles__nlp__|
|
String | ||
clusters__articles__nlp__|__entity_name
|
String | ||
clusters__articles__nlp__|__count
|
String | ||
clusters__articles__nlp__|__title
|
String | ||
clusters__articles__nlp__|__content
|
String | ||
clusters__articles__nlp__sentiment__title
|
Float | 0.0 | |
clusters__articles__nlp__sentiment__content
|
Float | 0.8882 | |
clusters__articles__nlp__ner_PER__entity_name
|
String | Beyoncé | |
clusters__articles__nlp__ner_PER__count
|
Integer | 1 | |
clusters__articles__nlp__ner_ORG__entity_name
|
String | Spotify | |
clusters__articles__nlp__ner_ORG__count
|
Integer | 7 | |
clusters__articles__nlp__ner_LOC__entity_name
|
String | ||
clusters__articles__nlp__ner_LOC__count
|
String | ||
clusters__articles__nlp__ner_MISC__entity_name
|
String | Spotify Wrapped | |
clusters__articles__nlp__ner_MISC__count
|
Integer | 14 | |
clusters__articles__id
|
String | 83c490ef60d06ff75658a8caa80d4ebf | |
clusters__articles__score
|
Float | 14.383368 | |
user_input__by_nlp_update_date
|
Boolean | f | |
user_input__q
|
String | Spotify | |
user_input__search_in__-
|
String | title_content | |
user_input__predefined_sources
|
String | null | |
user_input__sources
|
String | null | |
user_input__not_sources__-
|
String | yahoo.com | |
user_input__lang__-
|
String | en | |
user_input__not_lang
|
String | null | |
user_input__countries
|
String | null | |
user_input__not_countries
|
String | null | |
user_input__not_author_name
|
String | null | |
user_input__from_
|
DateTime | 2024-11-11T11:12:32+00:00 | |
user_input__to_
|
DateTime | 2024-11-18T11:12:32+00:00 | |
user_input__published_date_precision
|
String | null | |
user_input__by_parse_date
|
Boolean | f | |
user_input__sort_by
|
String | relevancy | |
user_input__ranked_only
|
Boolean | t | |
user_input__from_rank
|
String | null | |
user_input__to_rank
|
String | null | |
user_input__is_headline
|
String | null | |
user_input__is_opinion
|
Boolean | f | |
user_input__is_paid_content
|
Boolean | f | |
user_input__parent_url
|
String | null | |
user_input__all_links
|
String | null | |
user_input__all_domain_links
|
String | null | |
user_input__word_count_min
|
String | null | |
user_input__word_count_max
|
String | null | |
user_input__page
|
Integer | 1 | |
user_input__page_size
|
Integer | 100 | |
user_input__clustering_variable
|
String | content | |
user_input__clustering_enabled
|
Boolean | t | |
user_input__clustering_threshold
|
Float | 0.85 | |
user_input__include_nlp_data
|
Boolean | t | |
user_input__has_nlp
|
String | null | |
user_input__embeddings_output
|
String | null | |
user_input__theme
|
String | null | |
user_input__not_theme
|
String | null | |
user_input__ORG_entity_name
|
String | null | |
user_input__PER_entity_name
|
String | null | |
user_input__LOC_entity_name
|
String | null | |
user_input__MISC_entity_name
|
String | null | |
user_input__title_sentiment_min
|
String | null | |
user_input__title_sentiment_max
|
String | null | |
user_input__content_sentiment_min
|
String | null | |
user_input__content_sentiment_max
|
String | null | |
user_input__highlight_text
|
String | null | |
user_input__iptc_tags
|
String | null | |
user_input__not_iptc_tags
|
String | null | |
user_input__source_name
|
String | null | |
user_input__iab_tags
|
String | null | |
user_input__not_iab_tags
|
String | null | |
user_input__exclude_duplicates
|
String | null | |
user_input__additional_domain_info
|
String | null | |
user_input__is_news_domain
|
String | null | |
user_input__news_domain_type__-
|
String | Original Content | |
user_input__news_type
|
String | null |
Attribute | Type | Example | Mapping |
---|---|---|---|
title
|
String | OpenAI Completes Deal That Values Company at $157 Billion | |
author
|
String | Cade Metz | |
published_date
|
Date | 2024-10-02 17:00:52 | |
updated_date
|
Date | 2024-10-02 18:00:49 | |
link
|
String | https://www.nytimes.com/2024/10/02/technology/openai-valu... | |
name_source
|
String | The New York Times | |
country
|
String | US | |
rank
|
Integer | 57 | |
description
|
String | ||
content
|
String | ||
word_count
|
String | 712 | |
is_opinion
|
Boolean | false | |
score
|
Decimal | 1.9989564 |
Description
Country Coverage
History
Volume
8 | minutes latency |
55 | languages |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis?
Track specific events that influence the market you operate in. NewsCatcher scans news articles from over 90,000 outlets worldwide, including hyper-local media, to identify and cluster events across various categories: fundraising, HQ changes, layoffs, product launches, financial crimes, etc.
What is Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis used for?
This product has 5 key use cases. NewsCatcher API recommends using the data for Asset Management, Market Analytics, Risk Analysis, Inventory Management, and Company Risk Analysis. Global businesses and organizations buy Brand Affinity Data from NewsCatcher API to fuel their analytics and enrichment.
Who can use Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Brand Affinity Data. Get in touch with NewsCatcher API to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis go?
This product has 5 years of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, quarterly, yearly, and on-demand basis.
Which countries does Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. NewsCatcher API is headquartered in United States of America.
How much does Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis cost?
Pricing information for Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis is available by getting in contact with NewsCatcher API. Connect with NewsCatcher API to get a quote and arrange custom pricing models based on your data requirements.
How can I get Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis?
Businesses can buy Brand Affinity Data from NewsCatcher API and get the data via S3 Bucket, SFTP, Email, Streaming API, and Feed API. Depending on your data requirements and subscription budget, NewsCatcher API can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis?
NewsCatcher API has reported that this product has the following quality and accuracy assurances: 99.95% SLA, 95% coverage per source. You can compare and assess the data quality of NewsCatcher API using Datarade’s data marketplace. NewsCatcher API has received 2 reviews from clients. NewsCatcher API appears on selected Datarade top lists ranking the best data providers, including Best +8 News APIs to use in 2023.
What are similar products to Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis?
This product has 3 related products. These alternatives include Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment, Brand Data API Global Brand Sentiment Data 3.5M+ daily news articles Comprehensive Coverage NLP Extraction & Search Real Time Updates, and Brand Data: VisitIQ™ Real-Time Brand Data Analytics and Insights US 4 Billion Records daily and 21,000 sun categories. You can compare the best Brand Affinity Data providers and products via Datarade’s data marketplace and get the right data for your use case.