Classification of Sentiment Analysis on English Film Reviews with Analisis Sentimen Review Film Berbahasa Inggris Dengan Pendekatan Bidirectional Encoder Representations from Transformers approval

Cindy Alifia Putri, Cindy Alifia Putri and Adiwijaya, Adiwijaya and Said Al Faraby, Said Al Faraby (2020) Classification of Sentiment Analysis on English Film Reviews with Analisis Sentimen Review Film Berbahasa Inggris Dengan Pendekatan Bidirectional Encoder Representations from Transformers approval. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 6 (2). pp. 181-193. ISSN ISSN 2407, E-ISSN 2503-2933

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Abstract

Sentiment Analysis is the process of analyzing a person's opinion or attitude. Sentiment analysis is used to get the results of an analysis of various opinions or judgments of someone in providing comments or opinions. In this study, the authors conducted a sentiment analysis of film reviews using the cornell edu dataset from pabo for film reviews with a classification process using the Bidirectional Encoder Representations from Transformers (BERT) algorithm that performs fine tuning with some layer for classification. From this study, obtained the accuracy of the results calculated by the sparse categorical cross entropy of 73%.

Item Type:	Article
Uncontrolled Keywords:	Sentiment Analysis, Bidirectional Encoder Representations from Transformers, Dataset, Accuracy, Sparse Categorical Cross Entropy
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	17 Nov 2022 01:34
Last Modified:	17 Nov 2022 01:34
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1773

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