ANALYZING LANGUAGE UNITS FOR PERSONALITY

摘要

This application addresses techniques for personalizing natural language generation by conversational agents. These solutions allow for human-like, large scale opinion expression using a consistent style or personality. Opinion statements may be retrieved and categorized. These opinion statements may be entered into a database and used directly for opinion expression. A model, such as an artificial neural network, may be generated or parameterized based on these opinions. Within the model structure, a personality embedding space may be defined. The embedding space may be used when generating new sentences, or to classify newly-generated or existing sentences. Thus, the model may be used to find further examples of opinions in the same style, or to generate entirely new opinion sentences in a given style.