Textual Data | NLP-enriched Data | Transcription Data | Entity Extraction & Disambiguation | Ready-to-use
# | id |
event_type |
fundraising/company_legal_name |
fundraising/amount |
fundraising/company_description |
fundraising/funding_type |
fundraising/currency |
fundraising/founders/0 |
fundraising/founders/1 |
fundraising/founders/2 |
fundraising/investors/0 |
fundraising/investors/1 |
fundraising/investors/2 |
fundraising/investors/3 |
global_event_type |
associated_article_ids/0 |
extraction_date |
event_date |
company_name |
articles/0/paid_content |
articles/0/link |
articles/0/description |
articles/0/language |
articles/0/media |
articles/0/all_domain_links/0 |
articles/0/all_domain_links/1 |
articles/0/all_domain_links/2 |
articles/0/all_domain_links/3 |
articles/0/all_domain_links/4 |
articles/0/all_domain_links/5 |
articles/0/all_domain_links/6 |
articles/0/all_domain_links/7 |
articles/0/all_domain_links/8 |
articles/0/all_domain_links/9 |
articles/0/all_domain_links/10 |
articles/0/all_domain_links/11 |
articles/0/all_domain_links/12 |
articles/0/title |
articles/0/journalists/0 |
articles/0/journalists/1 |
articles/0/journalists/2 |
articles/0/journalists/3 |
articles/0/journalists/4 |
articles/0/journalists/5 |
articles/0/journalists/6 |
articles/0/content |
articles/0/word_count |
articles/0/domain_url |
articles/0/all_links/0 |
articles/0/all_links/1 |
articles/0/all_links/2 |
articles/0/all_links/3 |
articles/0/all_links/4 |
articles/0/all_links/5 |
articles/0/all_links/6 |
articles/0/all_links/7 |
articles/0/all_links/8 |
articles/0/all_links/9 |
articles/0/all_links/10 |
articles/0/all_links/11 |
articles/0/all_links/12 |
articles/0/all_links/13 |
articles/0/all_links/14 |
articles/0/all_links/15 |
articles/0/all_links/16 |
articles/0/all_links/17 |
articles/0/all_links/18 |
articles/0/all_links/19 |
articles/0/all_links/20 |
articles/0/rights |
articles/0/rank |
articles/0/twitter_account |
articles/0/id |
articles/0/name_source |
articles/0/extraction_data/parent_url |
articles/0/full_domain_url |
articles/0/author |
articles/0/is_headline |
articles/0/nlp/summary |
articles/0/nlp/ner_PER/0/entity_name |
articles/0/nlp/ner_PER/0/count |
articles/0/nlp/ner_PER/1/entity_name |
articles/0/nlp/ner_PER/1/count |
articles/0/nlp/ner_PER/2/entity_name |
articles/0/nlp/ner_PER/2/count |
articles/0/nlp/ner_PER/3/entity_name |
articles/0/nlp/ner_PER/3/count |
articles/0/nlp/ner_PER/4/entity_name |
articles/0/nlp/ner_PER/4/count |
articles/0/nlp/ner_PER/5/entity_name |
articles/0/nlp/ner_PER/5/count |
articles/0/nlp/ner_PER/6/entity_name |
articles/0/nlp/ner_PER/6/count |
articles/0/nlp/ner_PER/7/entity_name |
articles/0/nlp/ner_PER/7/count |
articles/0/nlp/ner_PER/8/entity_name |
articles/0/nlp/ner_PER/8/count |
articles/0/nlp/ner_PER/9/entity_name |
articles/0/nlp/ner_PER/9/count |
articles/0/nlp/ner_PER/10/entity_name |
articles/0/nlp/ner_PER/10/count |
articles/0/nlp/sentiment/title |
articles/0/nlp/sentiment/content |
articles/0/nlp/ner_LOC/0/entity_name |
articles/0/nlp/ner_LOC/0/count |
articles/0/nlp/ner_ORG/0/entity_name |
articles/0/nlp/ner_ORG/0/count |
articles/0/nlp/ner_ORG/1/entity_name |
articles/0/nlp/ner_ORG/1/count |
articles/0/nlp/ner_ORG/2/entity_name |
articles/0/nlp/ner_ORG/2/count |
articles/0/nlp/ner_ORG/3/entity_name |
articles/0/nlp/ner_ORG/3/count |
articles/0/nlp/ner_ORG/4/entity_name |
articles/0/nlp/ner_ORG/4/count |
articles/0/nlp/ner_ORG/5/entity_name |
articles/0/nlp/ner_ORG/5/count |
articles/0/nlp/ner_ORG/6/entity_name |
articles/0/nlp/ner_ORG/6/count |
articles/0/nlp/ner_ORG/7/entity_name |
articles/0/nlp/ner_ORG/7/count |
articles/0/nlp/ner_ORG/8/entity_name |
articles/0/nlp/ner_ORG/8/count |
articles/0/nlp/ner_ORG/9/entity_name |
articles/0/nlp/ner_ORG/9/count |
articles/0/nlp/ner_ORG/10/entity_name |
articles/0/nlp/ner_ORG/10/count |
articles/0/nlp/ner_ORG/11/entity_name |
articles/0/nlp/ner_ORG/11/count |
articles/0/nlp/ner_ORG/12/entity_name |
articles/0/nlp/ner_ORG/12/count |
articles/0/nlp/ner_ORG/13/entity_name |
articles/0/nlp/ner_ORG/13/count |
articles/0/nlp/ner_ORG/14/entity_name |
articles/0/nlp/ner_ORG/14/count |
articles/0/nlp/theme/0 |
articles/0/nlp/theme/1 |
articles/0/nlp/ner_MISC/0/entity_name |
articles/0/nlp/ner_MISC/0/count |
articles/0/nlp/ner_MISC/1/entity_name |
articles/0/nlp/ner_MISC/1/count |
articles/0/published_date_precision |
articles/0/is_opinion |
articles/0/published_date |
articles/0/authors/0 |
articles/0/authors/1 |
articles/0/authors/2 |
articles/0/authors/3 |
articles/0/authors/4 |
articles/0/authors/5 |
articles/0/authors/6 |
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2 | 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 | 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 |
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8 | 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 | 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 |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
String | qkwrfZIBvyT_ytpRlU4x | |
event_type
|
String | fundraising | |
fundraising/company_legal_name
|
String | Jambavan Academy Pvt Ltd | |
fundraising/amount
|
Integer | 9400000 | |
fundraising/company_description
|
String | The sports tech startup aims to create a 'lasting impact ... | |
fundraising/funding_type
|
String | seed | |
fundraising/currency
|
String | INR | |
fundraising/founders/0
|
String | Arman Tandon | |
fundraising/founders/1
|
String | Khushboo Talukdar | |
fundraising/founders/2
|
String | Sourjyendu Medda | |
fundraising/investors/0
|
String | QED Innovations Lab | |
fundraising/investors/1
|
String | Manohar Lal Tandon's family office | |
fundraising/investors/2
|
String | Blume Ventures | |
fundraising/investors/3
|
String | Roots Ventures | |
global_event_type
|
String | Finance | |
associated_article_ids/0
|
String | b320ea7bc5405442668b46d62e4c7267 | |
extraction_date
|
DateTime | 2024-10-11T20:00:59+00:00 | |
event_date
|
DateTime | 2024-03-11T00:00:00+00:00 | |
company_name
|
String | Sports For Life | |
articles/0/paid_content
|
Boolean | f | |
articles/0/link
|
String | https://inc42.com/buzz/ex-dealshare-cofounder-floats-new-... | |
articles/0/description
|
String | Nine months after stepping down as the cofounder of Deals... | |
articles/0/language
|
String | en | |
articles/0/media
|
String | https://inc42.com/cdn-cgi/image/quality=75/https://asset.... | |
articles/0/all_domain_links/0
|
String | twitter.com | |
articles/0/all_domain_links/1
|
String | google.com | |
articles/0/all_domain_links/2
|
String | bit.ly | |
articles/0/all_domain_links/3
|
String | instagram.com | |
articles/0/all_domain_links/4
|
String | whatsapp.com | |
articles/0/all_domain_links/5
|
String | joinfounderx.com | |
articles/0/all_domain_links/6
|
String | youtube.com | |
articles/0/all_domain_links/7
|
String | facebook.com | |
articles/0/all_domain_links/8
|
String | typeform.com | |
articles/0/all_domain_links/9
|
String | angelx.vc | |
articles/0/all_domain_links/10
|
String | managementx.com | |
articles/0/all_domain_links/11
|
String | linkedin.com | |
articles/0/all_domain_links/12
|
String | d2cx.co | |
articles/0/title
|
String | Ex-DealShare Cofounder Makes A $1 Mn Sportstech Bet | |
articles/0/journalists/0
|
String | Palak S | |
articles/0/journalists/1
|
String | Nikhil S | |
articles/0/journalists/2
|
String | Lokesh C | |
articles/0/journalists/3
|
String | Suprita A | |
articles/0/journalists/4
|
String | Bismah M | |
articles/0/journalists/5
|
String | Akshit Pushkarna | |
articles/0/journalists/6
|
String | Akshit P | |
articles/0/content
|
String | SUMMARY Incorporated in March 2024, the sports tech star... | |
articles/0/word_count
|
Integer | 432 | |
articles/0/domain_url
|
String | inc42.com | |
articles/0/all_links/0
|
String | https://joinfounderx.com/?utm_medium=website&utm_source=m... | |
articles/0/all_links/1
|
String | https://www.facebook.com/Inc42/ | |
articles/0/all_links/2
|
String | https://www.youtube.com/user/inc42tv/ | |
articles/0/all_links/3
|
String | https://bit.ly/485XFKn | |
articles/0/all_links/4
|
String | https://twitter.com/TimDraper/status/1154397171334176770 | |
articles/0/all_links/5
|
String | https://www.instagram.com/inc42.media/ | |
articles/0/all_links/6
|
String | https://twitter.com/narendramodi_in/status/10047644234775... | |
articles/0/all_links/7
|
String | https://twitter.com/BillGates/status/993690839397359616 | |
articles/0/all_links/8
|
String | https://twitter.com/amitabhk87/status/865474015116144640 | |
articles/0/all_links/9
|
String | https://news.google.com/publications/CAAqBwgKMMvogwswq-r_... | |
articles/0/all_links/10
|
String | https://in.linkedin.com/company/inc42 | |
articles/0/all_links/11
|
String | https://inc42.typeform.com/to/QILhCuDo?utm_source=website... | |
articles/0/all_links/12
|
String | https://www.whatsapp.com/channel/0029Va5rP7mH5JLrMk1R5B07 | |
articles/0/all_links/13
|
String | https://bit.ly/4aa6nJp | |
articles/0/all_links/14
|
String | https://twitter.com/sureshpprabhu/status/1005411209355636736 | |
articles/0/all_links/15
|
String | https://twitter.com/Inc42 | |
articles/0/all_links/16
|
String | https://angelx.vc/?utm_medium=website&utm_source=menu&utm... | |
articles/0/all_links/17
|
String | https://d2cx.co/?utm_medium=menu&utm_source=website&utm_c... | |
articles/0/all_links/18
|
String | https://d2cx.co/?utm_medium=website&utm_source=menu&utm_c... | |
articles/0/all_links/19
|
String | https://managementx.com/?utm_medium=website&utm_source=me... | |
articles/0/all_links/20
|
String | https://twitter.com/KirkDBorne/status/999487879314329600 | |
articles/0/rights
|
String | inc42.com | |
articles/0/rank
|
Integer | 12220 | |
articles/0/twitter_account
|
String | @Inc42 | |
articles/0/id
|
String | b320ea7bc5405442668b46d62e4c7267 | |
articles/0/name_source
|
String | Inc42 Media | |
articles/0/extraction_data/parent_url
|
String | https://inc42.com/buzz | |
articles/0/full_domain_url
|
String | inc42.com | |
articles/0/author
|
String | Akshit Pushkarna | |
articles/0/is_headline
|
Integer | 1 | |
articles/0/nlp/summary
|
String | Sourjyendu Medda has founded Sports For Life (SFL) with A... | |
articles/0/nlp/ner_PER/0/entity_name
|
String | Medda | |
articles/0/nlp/ner_PER/0/count
|
Integer | 6 | |
articles/0/nlp/ner_PER/1/entity_name
|
String | Kunal Shah | |
articles/0/nlp/ner_PER/1/count
|
Integer | 2 | |
articles/0/nlp/ner_PER/2/entity_name
|
String | Sourjyendu Medda | |
articles/0/nlp/ner_PER/2/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/3/entity_name
|
String | Arman Tandon | |
articles/0/nlp/ner_PER/3/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/4/entity_name
|
String | Khushboo Talukdar | |
articles/0/nlp/ner_PER/4/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/5/entity_name
|
String | Anshu Prasher | |
articles/0/nlp/ner_PER/5/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/6/entity_name
|
String | Manohar Lal Tandon | |
articles/0/nlp/ner_PER/6/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/7/entity_name
|
String | Vineet Rao | |
articles/0/nlp/ner_PER/7/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/8/entity_name
|
String | Sankar Bora | |
articles/0/nlp/ner_PER/8/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/9/entity_name
|
String | Bora | |
articles/0/nlp/ner_PER/9/count
|
Integer | 1 | |
articles/0/nlp/ner_PER/10/entity_name
|
String | Rao | |
articles/0/nlp/ner_PER/10/count
|
Integer | 1 | |
articles/0/nlp/sentiment/title
|
Float | 0.8985 | |
articles/0/nlp/sentiment/content
|
Float | 0.977 | |
articles/0/nlp/ner_LOC/0/entity_name
|
String | India | |
articles/0/nlp/ner_LOC/0/count
|
Integer | 4 | |
articles/0/nlp/ner_ORG/0/entity_name
|
String | DealShare | |
articles/0/nlp/ner_ORG/0/count
|
Integer | 4 | |
articles/0/nlp/ner_ORG/1/entity_name
|
String | SFL | |
articles/0/nlp/ner_ORG/1/count
|
Integer | 4 | |
articles/0/nlp/ner_ORG/2/entity_name
|
String | Blume Ventures | |
articles/0/nlp/ner_ORG/2/count
|
Integer | 2 | |
articles/0/nlp/ner_ORG/3/entity_name
|
String | Roots Ventures | |
articles/0/nlp/ner_ORG/3/count
|
Integer | 2 | |
articles/0/nlp/ner_ORG/4/entity_name
|
String | QED Innovations Lab | |
articles/0/nlp/ner_ORG/4/count
|
Integer | 2 | |
articles/0/nlp/ner_ORG/5/entity_name
|
String | Sports For Life | |
articles/0/nlp/ner_ORG/5/count
|
Integer | 2 | |
articles/0/nlp/ner_ORG/6/entity_name
|
String | Dealshare | |
articles/0/nlp/ner_ORG/6/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/7/entity_name
|
String | lasting | |
articles/0/nlp/ner_ORG/7/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/8/entity_name
|
String | Cartesian | |
articles/0/nlp/ner_ORG/8/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/9/entity_name
|
String | Jambavan Academy Pvt Ltd | |
articles/0/nlp/ner_ORG/9/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/10/entity_name
|
String | Whiteboard Capital | |
articles/0/nlp/ner_ORG/10/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/11/entity_name
|
String | MCA | |
articles/0/nlp/ner_ORG/11/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/12/entity_name
|
String | Tandon Group | |
articles/0/nlp/ner_ORG/12/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/13/entity_name
|
String | Inc42 | |
articles/0/nlp/ner_ORG/13/count
|
Integer | 1 | |
articles/0/nlp/ner_ORG/14/entity_name
|
String | Entrackr | |
articles/0/nlp/ner_ORG/14/count
|
Integer | 1 | |
articles/0/nlp/theme/0
|
String | Business | |
articles/0/nlp/theme/1
|
String | Sports | |
articles/0/nlp/ner_MISC/0/entity_name
|
String | INR | |
articles/0/nlp/ner_MISC/0/count
|
Integer | 6 | |
articles/0/nlp/ner_MISC/1/entity_name
|
String | Bengaluru-based | |
articles/0/nlp/ner_MISC/1/count
|
Integer | 1 | |
articles/0/published_date_precision
|
String | full | |
articles/0/is_opinion
|
Boolean | f | |
articles/0/published_date
|
DateTime | 2024-10-11T16:46:47+00:00 | |
articles/0/authors/0
|
String | Akshit Pushkarna | |
articles/0/authors/1
|
String | Bismah M. | |
articles/0/authors/2
|
String | Akshit P. | |
articles/0/authors/3
|
String | Palak S. | |
articles/0/authors/4
|
String | Lokesh C. | |
articles/0/authors/5
|
String | Nikhil S. | |
articles/0/authors/6
|
String | Suprita A. |
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
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Frequently asked questions
What is Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use?
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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use 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 Natural Language Processing (NLP) Data from NewsCatcher API to fuel their analytics and enrichment.
Who can use Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Natural Language Processing (NLP) 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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use 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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use 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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use cost?
Pricing information for Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use 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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use?
Businesses can buy Natural Language Processing (NLP) 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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use?
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 Textual Data NLP-enriched Data Transcription Data Entity Extraction & Disambiguation Ready-to-use?
This product has 3 related products. These alternatives include AI & ML Training Data 800M Profiles for LLMs, Generative AI, NLP & Predictive Models, AI Training Data US Transcription Data Unique Consumer Sentiment Data: Transcription of the calls to the companies, and Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly. You can compare the best Natural Language Processing (NLP) Data providers and products via Datarade’s data marketplace and get the right data for your use case.