Deep Entities and Convolutional Sentiments (News, Economics and AI meetup)

Thomson-Reuters offices Park Ofer, 94 Derech Em Hamoshavot Oren Building, entrance level floor · Petakh Tiqwa

#1 Entity extraction by deep learning - from research to production * by Hila Zarosim and Noam Rotem * The Non-English Languages Team at TMS (Refinitiv’s Text Metadata Services) has recently released a deep-learning-based component for tagging people names in French news documents. The model, Tensorflow-based, was trained by Python code, while the final destination ... Read more

Close-set Companies and Corpus-wide Claims (News, Economics and AI meetup)

Thomson-Reuters offices - Park Ofer, 94 Derech Em Hamoshavot, Oren Building, entrance level floor - Petakh Tiqwa, il

Details #1 Close Set Extraction: Discovering Companies We Know * by Rani Shlivinski * Slides: Closed Set Extracyion for Meetup - March 2019 #2 Project Debater and Corpus-wide Claim Detection * by Shai Gretz * Project Debater is the first AI system developed to compete in a full-live debate with a human debater. The project, ... Read more

Sentiment and Crisis in Financial Texts, News, Economics and AI meetup event

Bar Ilan Center for Smart Cities (1501) Bar Ilan University. The Dahan Family Unity Park

Two talks blending together textual analysis and finance with applications to sentiment and crisis prediction. #1 A New Method for Sentiment Analysis of Financial Documents * by Danny Lesmy, School of Business Administration, Hebrew University * #2 The Financial Crisis and the Financial Literature - a Textual Analysis * by Dr. Alon Raviv, The Graduate ... Read more