Snap Inc.

Venkata Satya Pradeep Karuturi

Leonardo Ribas Machado Das Neves

William Brendel

Luis Carlos Dos Santos Marujo

Ning Xu

Jianfei Yu

Xin Chen

Wei Chu

Francesco Barbieri

Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

Multimodal sentiment classification

Symbol prediction can be implemented using a multi-task system trained for different tasks. The tasks may include a single symbol prediction, symbol category prediction, and symbol subcategory prediction. Categories of symbols can be generated by clustering sets of training data using a clustering scheme.

Pictorial symbol prediction

Growing community of inventors

Marina Del Rey, CA, United States of America

Venkata Satya Pradeep Karuturi