PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING

Twitter now is the one of the most influental social media in the world, especially in Indonesia. Unfortunately, research about sentiment analysis in Bahasa (Indonesian Language) are not that many although there are many possibilities to convert the opinion inside into valuable information. One of t...

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Main Authors: , NURVIRTA MONARIZQA, , Ir. Lukito Edi Nugroho, M.Sc., Ph.D.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
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author , NURVIRTA MONARIZQA
, Ir. Lukito Edi Nugroho, M.Sc., Ph.D.
author_facet , NURVIRTA MONARIZQA
, Ir. Lukito Edi Nugroho, M.Sc., Ph.D.
author_sort , NURVIRTA MONARIZQA
collection UGM
description Twitter now is the one of the most influental social media in the world, especially in Indonesia. Unfortunately, research about sentiment analysis in Bahasa (Indonesian Language) are not that many although there are many possibilities to convert the opinion inside into valuable information. One of the kind of information that can be made is rate. This research is aim to do sentiment analysis in Twitter with Bahasa so that the opinions can be converted to a rate. There are two steps in this ressearch. The first one is building the core of the application using lucene library and support vector machine. The second one is to build the application using Java. The result is, the core of the application�s accuracy is 74.34%, while the application instead give rate 4.4 for keyword �Jokowi� with 68% of accuracy, rate 2.7 for keyword �Prabowo� with 56% of accuracy, rate 4.6 for keyword �kalimilk� with 70% of accuracy and it also gave rate 3.7 for keyword �sunmor� with 74% of accuracy.
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institution Universiti Gadjah Mada
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spelling oai:generic.eprints.org:1307852016-03-04T08:04:53Z https://repository.ugm.ac.id/130785/ PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING , NURVIRTA MONARIZQA , Ir. Lukito Edi Nugroho, M.Sc., Ph.D. ETD Twitter now is the one of the most influental social media in the world, especially in Indonesia. Unfortunately, research about sentiment analysis in Bahasa (Indonesian Language) are not that many although there are many possibilities to convert the opinion inside into valuable information. One of the kind of information that can be made is rate. This research is aim to do sentiment analysis in Twitter with Bahasa so that the opinions can be converted to a rate. There are two steps in this ressearch. The first one is building the core of the application using lucene library and support vector machine. The second one is to build the application using Java. The result is, the core of the application�s accuracy is 74.34%, while the application instead give rate 4.4 for keyword �Jokowi� with 68% of accuracy, rate 2.7 for keyword �Prabowo� with 56% of accuracy, rate 4.6 for keyword �kalimilk� with 70% of accuracy and it also gave rate 3.7 for keyword �sunmor� with 74% of accuracy. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , NURVIRTA MONARIZQA and , Ir. Lukito Edi Nugroho, M.Sc., Ph.D. (2014) PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71215
spellingShingle ETD
, NURVIRTA MONARIZQA
, Ir. Lukito Edi Nugroho, M.Sc., Ph.D.
PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title_full PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title_fullStr PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title_full_unstemmed PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title_short PENERAPAN ANALISIS SENTIMEN PADA TWITTER BERBAHASA INDONESIA SEBAGAI PEMBERI RATING
title_sort penerapan analisis sentimen pada twitter berbahasa indonesia sebagai pemberi rating
topic ETD
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AT irlukitoedinugrohomscphd penerapananalisissentimenpadatwitterberbahasaindonesiasebagaipemberirating