Open AccessExtracting Multiword Sentiment Expressions by Using a Domain‐Specific Corpus and a Seed Lexicon
Author(s) -
Lee KongJoo,
Kim JeeEun,
Yun BoHyun
Publication year - 2013
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.13.0113.0093
Subject(s) - lexicon , computer science , sentiment analysis , natural language processing , polarity (international relations) , artificial intelligence , domain (mathematical analysis) , word (group theory) , expression (computer science) , focus (optics) , linguistics , mathematics , mathematical analysis , philosophy , genetics , physics , cell , optics , biology , programming language
This paper presents a novel approach to automatically generate Korean multiword sentiment expressions by using a seed sentiment lexicon and a large‐scale domain‐specific corpus. A multiword sentiment expression consists of a seed sentiment word and its contextual words occurring adjacent to the seed word. The multiword sentiment expressions that are the focus of our study have a different polarity from that of the seed sentiment word. The automatically extracted multiword sentiment expressions show that 1) the contextual words should be defined as a part of a multiword sentiment expression in addition to their corresponding seed sentiment word, 2) the identified multiword sentiment expressions contain various indicators for polarity shift that have rarely been recognized before, and 3) the newly recognized shifters contribute to assigning a more accurate polarity value. The empirical result shows that the proposed approach achieves improved performance of the sentiment analysis system that uses an automatically generated lexicon.