The Use of POS Sequence for Analyzing Sentence Pattern in Twitter Sentiment Analysis

Fajri Koto, Mirna Adriani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015
EditorsJong Hyuk Park, Fatos Xhafa, Makoto Takizawa, Leonard Barolli, Tomoya Enokido
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-551
Number of pages5
ISBN (Electronic)9781479917747
DOIs
Publication statusPublished - 1 Jan 2015
Event29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015 - Gwangju, Korea, Republic of
Duration: 25 Mar 201527 Mar 2015

Publication series

NameProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015

Conference

Conference29th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015
Country/TerritoryKorea, Republic of
CityGwangju
Period25/03/1527/03/15

Keywords

  • polarity
  • POS sequence
  • sentiment analysis
  • social media
  • subjectivity
  • twitter

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