How to automate mundane tasks and find relevant text using text embedding Numbers are great, because they are easy to compare, tabulate and examine. Text? Not so much. But text embeddings let one manipulate and compare the meaning behind words and text like numbers. Basically, text embeddings convert words, phrases, or even whole documents into […]
We’re thrilled to announce the latest version of Rosette (1.11). It’s a big one — lots of exciting new features, enhancements, and improvements. We hope you’ll check it out! TL; DR check the release notes. Entities: Enhanced Extraction and Linking with New Types Rosette Entity Extraction & Linking now recognizes 700 new classes of entities […]
Political and linguistic challenges to accessing Persian data Persian sentiment analysis debuted in Rosette 1.10.1. This new feature joins Rosette’s array of Persian text analytics for base linguistics, entity extraction, as well as name matching and translation. This release means Rosette offers the most comprehensive coverage of Persian text analytics on the market. Why do […]
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, […]
New Rosette Cloud topics endpoint enables summarization, content organization and trend analysis We are creating new content online at an unprecedented rate. Globally, we compose 3.6 trillion words every day on email and social media, the equivalent of 36 million books.* Managing and deriving value from that volume of text data can only hope to […]
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 […]
After an awesome three days packed with conversations and presentations, Elastic{ON} is over for another year. The doors to Pier 48 are closed and the beautiful view of the bay is once again hidden underneath the well-known San Francisco fog. For our team, this was the biggest Elastic{ON} yet: featuring the launch of three simple […]
Wait! Have you read Part I yet? Check it out, then come on back. Putting Text Embeddings to Work Using the updated text embeddings endpoint in Rosette API 1.5, you’ll notice significant accuracy improvements on longer strings of text, both sentences and documents. We’ve also begun to incorporate text embeddings into some of our higher […]
A Crash Course in Basic Text Embeddings A chronic problem with using machines to analyze human language is that the same meaning can be expressed using many different words. Take for example the sentence “Bill Gates was educated at Harvard.” There are many ways to express this relationship: Bill Gates studied at Harvard, Bill Gates […]