Bright Data | Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis product image in hero

Bright Data | Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis

Bright Data
4.9(5)Badge iconVerified Data Provider
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isin
title_id
report_time
total
pos
neg
smooth_total
smooth_pos
smooth_neg
avg_smooth_total
avg_smooth_pos
avg_smooth_neg
buzz
sentiment
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... Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx
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Volume
1M
record available
Data Quality
97%
Success rate in real-time
Avail. Formats
.json and .csv
File
Coverage
245
Countries

Data Dictionary

[Sample] finance_Aggregated_data.csv
Attribute Type Example Mapping
isin
String US0378331005
title_id
Integer 3212
report_time
DateTime 2023-03-20T05:00:00+00:00
total
Integer 1488
pos
Integer 413
neg
Integer 288
smooth_total
Float 855.571
smooth_pos
Float 233.862
smooth_neg
Float 173.342
avg_smooth_total
Float 1649.02
avg_smooth_pos
Float 466.468
avg_smooth_neg
Float 299.465
buzz
Float 0.5188
sentiment
Float -0.0775
Product Attributes
Attribute Type Example Mapping
Timestamp
2021-05-02T17:28:25.449Z
URL
https://www.linkedin.com/organization-guest/company/amazon
String Amazon Company Name
Slogan
When available
Industries
Internet
Followers
19156025
Stock Symbol
AMZN
Funding rounds
2 total rounds
Last funding round
Post IPO equity
Money raised
US$ 100.0M
Logo
logo_url
Background Image
background_url
String 610444 Company Employee Count
About
"Amazon is guided by four principles..."
Locations
2127 7th Ave., Seattle, WA 98109, US
Updates
"Jeff Bezos and Mary's Place recently welcomed..."
Similar companies
Google
Affiliated pages
Amazon Web Services (AWS)
Integer 16551 Company ID
String 10,001+ employees Company Employee Count
Headquarters Location
Seattle, WA
Type
Public Company
Specialties
e-Commerce, Retail, Operations, and Internet

Description

We track communication in several thousands of finance-related social media channels such as Reddit, Twitter, Discord, Telegram, message boards and traditional news. Furthermore we collect data about company filings and official company announcements.
We apply Natural Language Processing (NLP) in order to detect the tonality of all these posts and messages, match ticker symbols of stocks, Detect persons and key events in text documents and apply topic extraction. There are dozens of different smart filters that can be applied to the data to retrieve different perspectives. Popular attributes: ✔ Thousands of different finance-related social media sources ✔ Ticker-mapping routines, key event and topic classifiers ✔ Sentiment scores with NLP ✔ Raw data available ✔ Historical data available, point-in-time Key information: Possible to deliver raw posts data Pricing: One-off purchase or Monthly license Long historical data: since September 2012 APIs available, RES

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (47)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Volume

1 million record available

Pricing

Bright Data has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
97%
Success rate in real-time

Delivery

Methods
S3 Bucket
SFTP
Email
Streaming API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.csv

Use Cases

Business Intelligence (BI)
Employment Analytics
Corporate Development
HR Strategy HR Intelligence

Categories

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Frequently asked questions

What is Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis?

We track communication in several thousands of finance-related social media channels such as Reddit, Twitter, Discord, Telegram, message boards and traditional news. Furthermore we collect data about company filings and official company announcements.

What is Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis used for?

This product has 5 key use cases. Bright Data recommends using the data for Business Intelligence (BI), Employment Analytics, Corporate Development, HR Strategy, and HR Intelligence. Global businesses and organizations buy Firmographic Data from Bright Data to fuel their analytics and enrichment.

Who can use Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.

Which countries does Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis cover?

This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.

How much does Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis cost?

Pricing information for Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.

How can I get Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis?

Businesses can buy Firmographic Data from Bright Data and get the data via S3 Bucket, SFTP, Email, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.

What is the data quality of Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis?

Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 6 SERP Tracking APIs for Accurate Monitoring, Best +8 Amazon Review APIs to use in 2023, and Best 6 Travel APIs to use in 2023.

What are similar products to Bright Data Finance-Linked Social Media Dataset with Ticker Mapping & Sentiment Analysis?

This product has 3 related products. These alternatives include Bright Data Historical Financial Dataset, Forager.ai- Company Funding Data 61M Global Company Data Records Bi-Weekly Updates Historical Coverage Hourly Delivery CSV, JSON, PostgreSQL, and Success.ai US Company Data Enrichment APIs 28M+ Full Company Profiles & Contact Data – Best Price & Quality Guarantee. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request