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Journal : Journal of Soft Computing Exploration

Comparison of the performance of naive bayes and support vector machine in sirekap sentiment analysis with the lexicon-based approach Setiyawan, Ramadhana; Mustofa, Zaenal
Journal of Soft Computing Exploration Vol. 5 No. 2 (2024): June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i2.367

Abstract

The general public often uses the SiRekap application to see the progress of the election and to provide critical statements. Policies made by the government have good and bad outcomes, and users end up leaving their reviews and ratings on the Google Play Store, where the app can be downloaded. These reviews can be collected and processed into useful information such as sentiment analysis using Naïve Bayes and Support Vector Machine methods. Both methods have differences during training and during evaluation. The difference in results from the various scenarios tested was not much different. When training the Support Vector Machine model is able to process comment data labeled with a lexicon 10% better than the Naïve Bayes model by looking at the results of the accuracy of the two models. During the accuracy evaluation process, the two models produce the same accuracy of 72%. Although both models get the same accuracy during the evaluation process, there are differences in precision, recall, and f1 score. The difference is that the Support Vector Machine model is 5% better for precision, 8% for recall, and 3% for f1-score compared to the Naïve Bayes model. This research is limited to only knowing the performance of two machine learning models, namely the use of naive bayes and svm by using a label lexicon. The results obtained can be improved for the better. Improving the evaluation results can be done by adding data or using text data augmentation and there is creation from experts related to language sentiment.
Co-Authors Achmad Faisal Abda’ Agus Qomaruddin Munir AGUS SUSILO ROMADHON Ahmad Ashifuddin Aqham Ahmad Asifuddin Ahmad Zakiy Ramadhan Al-Khawarizmi, Andi Hakim Annur Trihardiyanti Ardini, Fadhila Malasari Arie Atwa Magriyanti Aris Prio Agus Santoso Arsito Ari Kuncoro Arsito Ari Kuncoro Bachtiar Aziz Mulki budi hartono Budi Hartono Buntara Adi Purwanto Danang , Danang Danang Danang Danang, Danang Dani Sasmoko Dani Sasmoko Doni Marhab Eka Satria Wibawa Eko Siswanto Eko Siswanto Endang Sri Budi Herawati Fahrozi Ar-Ra’afi Febryantahanuji Febryantahanuji Firmansah, Firmansah Gita Amalia Hadi Yusuf Hadi Yusuf Haris Ihsanil Huda Ikka Rusmawardani Afsah Iman Saufik Suasana Ismarini Bekti Setiani Jozua Ferjanus Palandi Kun Mabruroh Lina Rahmawati Lukman Hakim Lupita Orisativa Aprilia Marhab, Doni Maryono, Dicky Maya Utami Dewi Miftahul Fuadi Mokhamad Iklil Mustofa Muhammad Nafis Muhammad Resa Arif Yudianto Muhammad Sholikhan Mumpuni, Sesya Dias Nadhir Fachrul Rozam Nova Nur Ramadhani Nur Rina Priyani Mirsa Nurkhamid, Nurkhamid Nurulloh, Ahmat Paulus Hartanto Prayogi , Arditya Priadi Surya Puput Mulyono Putri Avinda Rahman, Dzul Fadli Ratna Wardani Rina Arum Prastyanti Rinawan, Rangga Bayu Rini Rhubiyanti Riziq Anta Yahya Rizky Aji Prasetyo Rohman, M Aguts Rosita Dwi Widya Ningrum Sari, Maya Novita Sela Asyifa Dalila Setiyawan, Ramadhana singgih Prabowo Siswanto, Edy Siti Kholifah Siti Kholifah Somad, Mohamad Ali Sulartopo Sulartopo Sulartopo Sulartopo Sumaryanto Sumaryanto Sumaryanto, Sumaryanto Susilowati, Novi Tika Novita Sari Toni Wijanarko Adi Putra Triyanto Agung Praptono Wibowo Wahyu Efendy Yusuf Wahyu EY Widiatmoko, Mualwi Widiyan, Agung Purwa Wiwid Wahyudi Wulan Tri Puji Utami Yuni Astuti Yussi Anggraini Zakariah, Masduki