| copyright | lastupdated | ||
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2017-08-18 |
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{{site.data.keyword.discoverynewsfull}} is included with {{site.data.keyword.discoveryshort}}. {{site.data.keyword.discoverynewsfull}} is a dataset of English-language news sources that is updated continuously, with approximately 300,000 new articles and blogs added daily. This indexed dataset is pre-enriched with the following cognitive insights: Keyword Extraction, Entity Extraction, Semantic Role Extraction, Sentiment Analysis, Relations, and Category Classification. (To learn more about enrichments, see Adding enrichments.) The following additional metadata is also added: crawl date and publication date. Historical search is available for the past 60 days of news data. See a demo of what you can build with {{site.data.keyword.discoverynewsfull}} here 
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Use cases for Watson Discovery News:
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News alerting - Create news alerts by taking advantage of the support for entities, keywords, categories, and sentiment analysis to watch for both news and how it is perceived.
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Event detection - The subject/action/object semantic role extraction checks for terms/actions such as "acquisition", "election results", or "IPO".
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Trending topics in the news - Identify popular topics and monitor increases and decreases in how frequently they (or related topics) are mentioned.
For information about writing queries for {{site.data.keyword.discoverynewsfull}}, see Building Queries and Delivering Content and Query Building Reference.
You cannot adjust the {{site.data.keyword.discoverynewsfull}} configuration, train, or add documents to the {{site.data.keyword.discoverynewsfull}} collection.
Note: This version of {{site.data.keyword.discoverynewsfull}} debuted on 31, July 2017. The original version has been renamed {{site.data.keyword.discoverynewsfull}} Original and has been retired with a removal from service date of 15, January 2018. For information on migrating, see Migrating from Watson Discovery News Original.