Text extracts from: Evri, Developer Portal
http://www.evri.com/developer
Category:
Topic-> Natural Language Processing->Information Extraction
Keyword extractions for this category:
http://www.evri.com/developer
| | Identify, categorize, and locate entities Identify people, places, and things that are present in unstructured text such as news articles, blog posts, Twitter tweets and other web content.... |
http://www.evri.com/developer
| | Entities are recognized and assigned into one or more categories from our set of thousands including categories like:... |
http://www.evri.com/developer
| | In addition to being assigned a category, returned entities have a unique identifier which allows you to look up exhaustive and complete factual information about the entity, such as birth date, films directed, songs sung, and more.... |
http://www.evri.com/developer
| | Highly ambiguous entities such as Blue, Blue or Blue are accurately recognized and linked to detailed information about the specific Blue referenced in the text.... |
http://www.evri.com/developer
| | Entities can also be identified in terse, colloquial language found in Twitter tweets, Facebook status updates, or text.... |
http://www.evri.com/developer
| | Extract entity networks Graph relationships between entities within news articles, blog posts, or text selections.... |
http://www.evri.com/developer
| | Get recommendations with the Evri API Get recommendations for news articles, blog posts, images, videos, Twitter tweets, quotes, expressions of sentiment, and more.... |
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