Jurnal Ilmu Komputer dan Informasi
Vol 7, No 1 (2014): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

USER EMOTION IDENTIFICATION IN TWITTER USING SPECIFIC FEATURES: HASHTAG, EMOJI, EMOTICON, AND ADJECTIVE TERM

Yuita Arum Sari (Unknown)
Evy Kamilah Ratnasari (Unknown)
Siti Mutrofin (Unknown)
Agus Zainal Arifin (Unknown)

Article Info

Publish Date
21 Aug 2014

Abstract

Abstract Twitter is a social media application, which can give a sign for identifying user emotion. Identification of user emotion can be utilized in commercial domain, health, politic, and security problems. The problem of emotion identification in twit is the unstructured short text messages which lead the difficulty to figure out main features. In this paper, we propose a new framework for identifying the tendency of user emotions using specific features, i.e. hashtag, emoji, emoticon, and adjective term. Preprocessing is applied in the first phase, and then user emotions are identified by means of classification method using kNN. The proposed method can achieve good results, near ground truth, with accuracy of 92%.

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Journal Info
Jurnal Ilmu Komputer dan Informasi
Website

Abbrev

JIKI

Publisher

Universitas Indonesia

Subject

Computer Science & IT

Description

Jurnal Ilmu Komputer dan Informasi is a scientific journal in computer science and information containing the scientific literature on studies of pure and applied research in computer science and information and public review of the development of theory, method and applied sciences related to the ...