TY  - JOUR
T1  - Estimating the Polarity Index of a Word
AU - Park, Haejin AU - Lee, Soowon 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 16
SP  - 4022
EP  - 4027
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.4022.4027
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.4022.4027
KW  - Polarity index estimation
KW  -Korean dictionary information
KW  -sentiment word
KW  -sentiment dictionary
KW  -sentiment analysis
KW  -experimental results
AB  - In sentiment analysis, sentiment dictionary is important because it affects the results of sentiment
analysis. To build a sentiment dictionary, it is needed to classify the sentiment category of a word and to
quantify its sentiment polarity strength. In English-based studies, it is easy to build an English sentiment
dictionary to quantify the sentiment polarity strength of a word. However, such English sentiment dictionary
is unsuitable for sentiment analysis of Korean documents. In Korean based studies, it is difficult to perform
sentiment analysis for Korean documents precisely because most of Korean sentiment dictionaries with the
sentiment polarity strength are built by surveys and the number of words is limited. In this study, we propose
a method to automatically estimate the polarity index of a word using the synonyms and definitions information
of words in a Korean dictionary. The experimental results show that the proposed method outperforms methods
of using only one of the synonyms or definitions information.
ER  -