ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER
Twitter has been used extensively by various segments of society. Hence, it can be a media that represent trending issues in public. The people habbits of posting tweet can be a refference to find out the public sentiment toward public figures. The needs of sentiment analysis toward public figures a...
| Main Authors: | , |
|---|---|
| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
|
| Subjects: |
| _version_ | 1826048085324726272 |
|---|---|
| author | , AHMAD FATHAN HIDAYATULLAH , Dr. Azhari SN, M.T. |
| author_facet | , AHMAD FATHAN HIDAYATULLAH , Dr. Azhari SN, M.T. |
| author_sort | , AHMAD FATHAN HIDAYATULLAH |
| collection | UGM |
| description | Twitter has been used extensively by various segments of society. Hence, it
can be a media that represent trending issues in public. The people habbits of
posting tweet can be a refference to find out the public sentiment toward public
figures. The needs of sentiment analysis toward public figures are usually
necessary when people want to know the public sentiment and response toward
the public figures especially before elections.
This research analyzes and classifies tweets in Indonesian language using
Naive Bayes Classifier combined with negation detection and term weighting
feature using term frequency and TF-IDF. The classification in this research is
classified based on sentiment about public figure's feature.
Based on the evaluation of the application and RapidMiner tools, the
accuration result shows that the term frequency feature gives better result than that
of TF-IDF. The Support Vector Machine method gives better result than that of
Naive Bayes in classifying tweet. However, both of these methods have the same
good performance to classify tweet. |
| first_indexed | 2024-03-13T23:22:25Z |
| format | Thesis |
| id | oai:generic.eprints.org:128733 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:22:25Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1287332016-03-04T07:51:50Z https://repository.ugm.ac.id/128733/ ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER , AHMAD FATHAN HIDAYATULLAH , Dr. Azhari SN, M.T. ETD Twitter has been used extensively by various segments of society. Hence, it can be a media that represent trending issues in public. The people habbits of posting tweet can be a refference to find out the public sentiment toward public figures. The needs of sentiment analysis toward public figures are usually necessary when people want to know the public sentiment and response toward the public figures especially before elections. This research analyzes and classifies tweets in Indonesian language using Naive Bayes Classifier combined with negation detection and term weighting feature using term frequency and TF-IDF. The classification in this research is classified based on sentiment about public figure's feature. Based on the evaluation of the application and RapidMiner tools, the accuration result shows that the term frequency feature gives better result than that of TF-IDF. The Support Vector Machine method gives better result than that of Naive Bayes in classifying tweet. However, both of these methods have the same good performance to classify tweet. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , AHMAD FATHAN HIDAYATULLAH and , Dr. Azhari SN, M.T. (2014) ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69099 |
| spellingShingle | ETD , AHMAD FATHAN HIDAYATULLAH , Dr. Azhari SN, M.T. ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title | ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title_full | ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title_fullStr | ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title_full_unstemmed | ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title_short | ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA DATA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER |
| title_sort | analisis sentimen dan klasifikasi kategori terhadap tokoh publik pada data twitter menggunakan naive bayes classifier |
| topic | ETD |
| work_keys_str_mv | AT ahmadfathanhidayatullah analisissentimendanklasifikasikategoriterhadaptokohpublikpadadatatwittermenggunakannaivebayesclassifier AT drazharisnmt analisissentimendanklasifikasikategoriterhadaptokohpublikpadadatatwittermenggunakannaivebayesclassifier |