Abstract

The large number of internet users caused increasing the number of social media users. Twitter is one of social media that have a large number of users in Indonesia. As a social media, twitter allows users to share information via status in a tweet. Due to the limitations of the use of text is only 280 characters, emoticons are commonly used in tweet. Emoticon can explain the condition or feeling which is described in a text-shaped punctuation mark. This paper will focus on creating emoticon dictionary and weighting of an emoticon. Emoticon dictionary contains a list of 384 emoticons describing a variety of feelings and emotions. The used dataset contains Indonesian language tweets from twitter API. We tried to analyze sentiment on existing datasets with reference scores in SentiWordNet. Weighting emoticons done under the assumption that the emoticons have more effect in a sentence than ordinary words. After that, we classify the results into three classes, namely sentiment positive, negative and neutral. We compared the results between the emoticon-based algorithm and without considering emoticons algorithm. Accuracy obtained on the emoticon-based using algorithm is 0.74.

Original languageEnglish
Title of host publicationProceedings - 2018 International Seminar on Application for Technology of Information and Communication
Subtitle of host publicationCreative Technology for Human Life, iSemantic 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-238
Number of pages5
ISBN (Electronic)9781538674864
DOIs
Publication statusPublished - 27 Nov 2018
Event3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 - Semarang, Indonesia
Duration: 21 Sept 201822 Sept 2018

Publication series

NameProceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018

Conference

Conference3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018
Country/TerritoryIndonesia
CitySemarang
Period21/09/1822/09/18

Keywords

  • Emoticons
  • Indonesian
  • SentiWordNet
  • Sentiment Analysis

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