Building a Concept-Level Sentiment Dictionary Based on Commonsense Knowledge

Author

Tsai, A.C.-R. ; Chi-En Wu ; Tsai, Richard Tzong-Han ; Hsu, Jane Y.

Volume

28

Issue

2

fYear

2013

fDate

March-April 2013

Firstpage

22

Lastpage

30

Abstract

Sentiment dictionaries are essential for research in the sentiment analysis field. A two-step method integrates iterative regression and random walk with in-link normalization to build a concept-level sentiment dictionary. The approach uses ConceptNet as a framework to propagate sentiment values, based on the assumption that semantically related concepts share a common sentiment.

Keywords

dictionaries; iterative methods; regression analysis; social networking (online); ConceptNet; commonsense knowledge; concept-level sentiment dictionary; in-link normalization; iterative regression; random walk; sentiment analysis field; sentiment values propagation; two-step method; Context awareness; Data collection; Data mining; Dictionaries; Emotion recognition; Information analysis; Iterative methods; Knowledge discovery; Natural language processing; ConceptNet; Context awareness; Data collection; Data mining; Dictionaries; Emotion recognition; Information analysis; Iterative methods; Knowledge discovery; Natural language processing; commonsense knowledge; sentiment analysis; sentiment dictionary;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2013.25

Filename

6461369