Tag: semantic similarity

Cross-Lingual Search Based on Concepts and Meaning

We’ve recently released this whitepaper which explores a new way to solve cross-lingual semantic search. Rather than use machine translation to translate queries or search records, this approach delivers better accuracy based on semantics, not translation. Semantic search (aka, concept search) goes beyond finding keywords, to retrieving ideas suggested by the keywords. In part 1 […]

Word Embeddings for Fuzzy Matching of Organization Names

Rosette’s name matching is enhanced by word embeddings to match based on semantics as well as phonetics Tracking mentions of particular organizations across news articles, social media, and internal communications is integral to the workflow of dozens of use-cases across industries. However it can be especially challenging to match names of companies and organizations because […]

Using Deep Learning to Power Multilingual Text Embeddings for Global Analysis, Part I

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 […]

Deep Learning Powers Cross-Lingual Semantic Similarity Calculation

Text Embeddings Now Available in the Rosette API The Rosette API team is excited to announce the addition of a new function to Rosette’s suite of capabilities: text embedding. This endpoint returns a single vector of floating point numbers for your input, a.k.a. an embedding of your text in a semantic vector space. Text embeddings […]