Uncovering Motivations, Stances and Anomalies through Private-State Recognition
Technical Report,01 Oct 2012,30 Nov 2017
Cornell University Ithaca United States
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We report on natural language processing research on the automatic identification of private states e.g. opinions, beliefs, evaluations, judgments, feelings in unstructured text. We focus on the development and evaluation of neural network-based methods for fine-grained opinion analysis methods for inferring private states that are not explicitly mentioned, and methods for determining private-state-aware semantic equivalence.
- Computer Programming and Software