@inproceedings{8995011560e94da6819e13d56d596657,
title = "The Use of POS Sequence for Analyzing Sentence Pattern in Twitter Sentiment Analysis",
abstract = "As one of the largest Social Media in providing public data every day, Twitter has attracted the attention of researcher to investigate, in order to mine public opinion, which is known as Sentiment Analysis. Consequently, many techniques and studies related to Sentiment Analysis over Twitter have been proposed in recent years. However, there is no study that discuss about sentence pattern of positive/negative sentence and neither subjective/objective sentence. In this paper we propose POS sequence as feature to investigate pattern or word combination of tweets in two domains of Sentiment Analysis: subjectivity and polarity. Specifically we utilize Information Gain to extract POS sequence in three forms: sequence of 2-tags, 3-tags, and 5-tags. The results reveal that there are some tendencies of sentence pattern which distinguish between positive, negative, subjective and objective tweets. Our approach also shows that feature of POS sequence can improve Sentiment Analysis accuracy.",
keywords = "POS sequence, polarity, sentiment analysis, social media, subjectivity, twitter",
author = "Fajri Koto and Mirna Adriani",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015 ; Conference date: 25-03-2015 Through 27-03-2015",
year = "2015",
month = apr,
day = "27",
doi = "10.1109/WAINA.2015.58",
language = "English",
series = "Proceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "547--551",
editor = "Leonard Barolli and Makoto Takizawa and Fatos Xhafa and Tomoya Enokido and Park, {Jong Hyuk}",
booktitle = "Proceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015",
address = "United States",
}