Extracting and Grounding Contextualized Sentiment Lexicons

2013105 citationsJournal Article

Authors

Albert Weichselbraun · University of Applied Sciences of the Grisons

Abstract

A context-aware approach based on machine learning and lexical analysis identifies ambiguous terms and stores them in contextualized sentiment lexicons, which ground the terms to concepts corresponding to their polarity.

Topics & Keywords

Sentiment Analysis and Opinion Mining Advanced Text Analysis Techniques Topic Modeling

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: IEEE Intelligent Systems

Volume 28, Issue 2, pp. 39-46

DOI: 10.1109/mis.2013.41

Field-Weighted Citation Impact: 27.87