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Tag: relationship extraction

Understanding the Difference Between Open and Targeted Relationship Extraction

Who’s in your data, and how are they connected? You may have heard about relationship extraction and wondered what this NLP innovation is. Relationship extraction is the automated detection and classification of semantic relationships between entities in text. It goes beyond automatically adding metadata to articles, to “writing” profiles and reports about a person, place, […]

Rosette Cloud 1.8 Adds Topics, Salience, French Sentiment, and More

We’re excited to announce we released Rosette Cloud 1.8, including a new /topics endpoint. The topic extraction endpoint returns key phrases extracted from the input text, as well as general concepts that may not be explicitly mentioned. /topics can be used to tag and sort a large corpus of documents, so you can automatically filter […]

Rosette API 1.7 Release

Great news! Yesterday we released Rosette API v. 1.7. We added support for Arabic sentiment analysis (beta), confidence scores for all extracted entities, pronominal resolution in targeted relationship extraction, and a new /transliteration endpoint for transforming romanized Arabic chat text (“Arabizi”) to standard Arabic script. We also introduced specialized linguistic analysis for emojis, emoticons, hashtags, […]

Relationship discovery gets even easier with Rosette API

Rosette API 1.5 is our most ambitious update since the inception of our cloud API offering last spring, with new features, capabilities, and improvements. To help our users get the most out of the release, we’re bringing you a series of posts highlighting some of the bigger changes, starting with the introduction of targeted relationship […]