Writing annotation guidelines for entity extraction for adverse media screening in financial compliance As much as we love to think our machine learning algorithms are the most important part of training up a model, they need human-annotated data to get started, which also — very importantly — are the benchmark for evaluating a model’s accuracy. […]
Tag: Text Analytics
Rosette 1.17.0 Release: Hebrew Name Translation, French Semantic Similarity, Robust Address Matching
Recent Rosette® Cloud and Enterprise releases (1.17.0, 1.16.1) bring expanded language coverage to name translation and semantic similarity, and ease of use to the address matching capability within Rosette Name Indexer. We have also made improvements to Arabic-Arabic and Arabic-English name matching, as well as better morphological analysis in various languages. Hebrew name translation Name […]
Duplicate Document Detection & Cross-Lingual Search
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 […]
Rosette Cloud 1.11: New Entity Types, Hungarian Names, and Cross Language Semantics
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 […]
The Difficulty of Persian Sentiment Analysis
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 […]
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, […]
A Document’s Vital Stats: Keyphrases and Concepts
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 […]
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 […]
From Elastic{ON} 17, with love
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 […]