@article{MAKHILLJEAS2017121614717,
    title = {Estimating the Polarity Index of a Word},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {16},
    pages = {4022-4027},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.4022.4027},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.4022.4027},
    author = {Haejin and},
    keywords = {Polarity index estimation,Korean dictionary information,sentiment word,sentiment dictionary,sentiment analysis,experimental results},
    abstract = {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.}
    }