Reuters News Archive: Pharmaceutical (30 Days) - SAMPLE
Provided By: Reuters
Reuters News Archive: Pharmaceutical (30 Days) - SAMPLE
Provided By: Reuters
Reuters’ Pharmaceutical Package provides pharmaceutical-related text articles that Reuters has published. This will include news about pharmaceutical manufacturers (generic and specialty drugs), researchers and developers of new drugs, as well as medical products and procedures. These articles make this dataset ideal for any natural language processing (NLP) algorithms or ML applications specializing in this space.
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Overview
ABOUT THIS DATASET
A data extract from our pure text English language newswire archive which includes 30 days of content structured in our standard newsML-G2 XML format.
Content Type: Text (txt)
Language: English(En)
Topic: Pharmaceutical (FDRT, HECA, PHAR, PHMR)
Date Range: September 1st - September 30th of 2019
Format: NewsML G2
Encoding: UTF-8
Catalog Reference: http://www.iptc.org/std/catalog/catalog.IPTC-G2-Standards_3.xml
Basic Metadata:
| Description | Field |
|---|---|
| Unique Story ID | transmitID, guid |
| Publication Data | firstCreated |
| Copyright Holder | rightsInfo |
| Filename | fileName |
| Content Type | channel, signal qcode="prodId:TXT, itemClass |
| Language | language |
| Title | title |
| Urgency | urgency |
| Located (Country/Province or State) | located |
| Categorization, Topic and Region Codes | subject qcode="N2:XXX" |
| Creator | creator |
| Slug Line | slugline |
| Headline | headline |
| DateLine | dateline |
| Author | by |
| Credit Line | creditline |
| Description | description |
ABOUT REUTERS ## button:Learn More
As the world’s largest news agency, Reuters continuously produces substantial multimedia content, enabling you to thoroughly test and build your AI. Our large body of trusted news data continues to grow on a daily basis with 200 transcripted videos added per day, over 1,500 images with intelligent metadata added per day, and 2.2 million translated text articles added every year.
Our news data is professionally produced and fully-licensed, allowing you to reach insights with greater speed and effectiveness:
Rights: Reuters has the proprietary rights to our data corpus and visual assets
Trust & Accuracy: Over 2000 media companies rely on Reuters news to make editorial and business decisions every day. Guided by Reuters Trust principles, our news preserves integrity, independence and freedom from bias
Diversity: Broad coverage of major topics from over 200 global locations and 16 languages, including business, finance, politics, sports, entertainment, technology, and much more
Metadata: Our advanced metadata contains regional and category-specific codes, allowing for intelligent grouping
NEED ASSISTANCE
If you have any questions or concerns regarding this dataset, please contact Reuters Support Services.
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Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
Reuters Newswire Archive: Pharmaceutical (30 Days) - SAMPLE | Not included | US East (N. Virginia) |
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