North Carolina State University

Sas Institute Inc.

Gowtham Dinakaran

James Allen Cox

Saratendu Sethi

Jordan Riley Benson

Ravinder Devarajan

David James Caira

Christopher Graham Healey

Kalpesh Padia

Training data for training a neural network usable for electronic sentiment analysis can be automatically constructed. For example, an electronic communication usable for training the neural network and including multiple characters can be received. A sentiment dictionary including multiple expressions mapped to multiple sentiment values representing different sentiments can be received. Each expression in the sentiment dictionary can be mapped to a corresponding sentiment value. An overall sentiment for the electronic communication can be determined using the sentiment dictionary. Training data usable for training the neural network can be automatically constructed based on the overall sentiment of the electronic communication. The neural network can be trained using the training data. A second electronic communication including an unknown sentiment can be received. At least one sentiment associated with the second electronic communication can be determined using the neural network.

Automatically constructing training sets for electronic sentiment analysis

Growing community of inventors

Raleigh, NC, United States of America

Gowtham Dinakaran