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PENGARUH BRILL TAGGER TERHADAP HASIL KLASIFIKASI ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA MULTINOMIAL NAIVE BAYES

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Twitter is a social media that is often used by researchers as an object of research to conduct sentiment analysis. Twitter is also a good indicator for influence in research, the problem that arises in research in the field of sentiment analysis is the large number of factors such as the use of informal or colloquial language and other factors that can affect the results of sentiment classification. To improve the results of sentiment classification, an information extraction process can be carried out. One part of the information extraction feature is a part of speech tagging, which is the giving of word classes automatically. The results of part of speech tagging are used for weighting words based on part of speech. This study examines the effect of Part of Speech Tagging with the method Brill Tagger in sentiment analysis using the Naive Bayes Multinomial algorithm. Testing were carried out on 500 twitter tweet texts and obtained the results of the sentiment classification with implementing part of speech tagging precision 73,2%, recall 63,2%, f-measure 67,6%, accuracy 60,7% and without implementing part of speech tagging precision 65,2%, recall 60,6%, f-measure 62,4% accuracy 53,3%. From the results of the accuracy obtained, it shows that the application of part of speech tagging in sentiment analysis using the Multinomial Naïve Bayes algorithm has an effect with an increase in classification performance.

Availability
Inventory Code Barcode Call Number Location Status
2107002753T39932T399322021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T399322021
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xvi, 108 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.754 07
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Prodi Teknik Informatika
Situs Jejaring Sosial
Specific Detail Info
-
Statement of Responsibility
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No other version available

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