Our Future Universe

Jean Philippe Tissier-Seta

Jérôme Tiollier

Elisabetta Caschera

Sabine Nasr

Ana Maria Leon Ortiz

Jérôme Marino

Thomas Gerbaud

Céline Voisin

Aspects of the disclosure include a natural language processing model by which topics of interest within a text are identified, such as by a predictive model that infers (e.g., based on scores associated with a text) a topic of interest associated with the text. The computer system may train or configure the prediction model, such as a machine learning model, to facilitate identification of topics of interest based on inputs, like one or more chunks of text, such as by keywords or phrases or combinations of keywords and associated metrics for nearness or frequency. The computer system may determine a measure of predicted impactfulness of the content item in relation to a topic of interest identified for the content item and determine whether to generate a notification transmitted to client devices of users having indicated the topic as of interest.

Classifying relevance of natural language text for topic-based notifications

Growing community of inventors

Marseilles, France

Jean Philippe Tissier-Seta