OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON

Opinions in the decision-making process are often used as a reference. Nowadays, with the internet and social media there are a lot of people often argue, complain or criticize about something. So as to know what others think of something that we do not need to ask them one by one. We can develop a...

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Main Authors: , Jan Kristanto Wibisono, , Drs. Edi Winarko, M.Sc., PhD.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
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author , Jan Kristanto Wibisono
, Drs. Edi Winarko, M.Sc., PhD.
author_facet , Jan Kristanto Wibisono
, Drs. Edi Winarko, M.Sc., PhD.
author_sort , Jan Kristanto Wibisono
collection UGM
description Opinions in the decision-making process are often used as a reference. Nowadays, with the internet and social media there are a lot of people often argue, complain or criticize about something. So as to know what others think of something that we do not need to ask them one by one. We can develop a method that can search and analyze text on social media which produces output in the form an opinion about something. The method to obtain information in the form of opinions contained in the text is an \"Opinion Mining\" or \"Sentiment Analysis\". In this research, using a combined Unsupervised method based on Indonesian Lexicon and Supervised based on Support Vector Machine. Results obtained in the form of sentiment is negative polarity, positive, or neutral. From the test results obtained in this study 77,7% accuracy.
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institution Universiti Gadjah Mada
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spelling oai:generic.eprints.org:1232022016-03-04T08:39:26Z https://repository.ugm.ac.id/123202/ OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON , Jan Kristanto Wibisono , Drs. Edi Winarko, M.Sc., PhD. ETD Opinions in the decision-making process are often used as a reference. Nowadays, with the internet and social media there are a lot of people often argue, complain or criticize about something. So as to know what others think of something that we do not need to ask them one by one. We can develop a method that can search and analyze text on social media which produces output in the form an opinion about something. The method to obtain information in the form of opinions contained in the text is an \"Opinion Mining\" or \"Sentiment Analysis\". In this research, using a combined Unsupervised method based on Indonesian Lexicon and Supervised based on Support Vector Machine. Results obtained in the form of sentiment is negative polarity, positive, or neutral. From the test results obtained in this study 77,7% accuracy. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Jan Kristanto Wibisono and , Drs. Edi Winarko, M.Sc., PhD. (2013) OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=63313
spellingShingle ETD
, Jan Kristanto Wibisono
, Drs. Edi Winarko, M.Sc., PhD.
OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title_full OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title_fullStr OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title_full_unstemmed OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title_short OPINION MINING PADA TWITTER UNTUK BAHASA INDONESIA DENGAN METODE SUPPORT VECTOR MACHINE DAN METODE BERBASIS LEXICON
title_sort opinion mining pada twitter untuk bahasa indonesia dengan metode support vector machine dan metode berbasis lexicon
topic ETD
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AT drsediwinarkomscphd opinionminingpadatwitteruntukbahasaindonesiadenganmetodesupportvectormachinedanmetodeberbasislexicon