Refinitiv US Organization LLC

Dmitry Levinson

Enav Weinreb

Shai Hertz

Ofri Rom

Yael Lindman

Oren Hazai

Danel Kotev

Savva Khalaman

Saar Miron

Yossi Ben-Shlomo

Evyatar Sharabi

Alexandra Rabinovich Goldshlager

Chen Weiss

Lior Weintraub

Lior Gelernter

Hila Zarosim

Rani Shlivinski

Shai Taub

Ehud Azikri

Yaniv Ben-Meir

Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION&#x2122;, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.

Self-service classification system

The present disclosure is directed to methods, systems and programs for adjusting tagging of files. An illustrative method includes receiving a request to upload at least one document from a user via processor, assigning a first metadata tag via processor to at least one word contained within the at least one document, wherein the first metadata tag identifies the at least one word as an alias for a first unique entity, delivering the at least one document to the user including the first metadata tag via processor, receiving feedback via processor from the user relating to the assignment of the first metadata tag to the at least one word, determining at least one potential adjustment for the assignment of the first metadata tag via processor, sending information to the user proposing the at least one potential adjustment via processor, and receiving confirmation information from the user concerning the potential adjustment.

Apparatuses, methods and systems for adjusting tagging in a computing environment

Growing community of inventors

Tel Aviv, Israel

Dmitry Levinson