Accession Number:

AD1052275

Title:

Uncovering Motivations, Stances and Anomalies through Private-State Recognition

Descriptive Note:

Technical Report,01 Oct 2012,30 Nov 2017

Corporate Author:

Cornell University Ithaca United States

Personal Author(s):

Report Date:

2018-05-01

Pagination or Media Count:

27.0

Abstract:

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.

Subject Categories:

  • Computer Programming and Software
  • Linguistics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE