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Arif Bijaksana Putra Negara
Universitas Tanjungpura
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Social Sciences

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The Influence Of Applying Stopword Removal And Smote On Indonesian Sentiment Classification Arif Bijaksana Putra Negara
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p05

Abstract

Information, like public opinions or responses, can be obtained through Twitter tweets. These opinions can expressed as a sentiment. Sentiments can be positive, neutral, or negative. Sentiment analysis (opinion mining) on a text can performed through text classification. This research aims to determine the influence of implementing Stopword Removal and SMOTE on the sentiment classification model for Indonesian tweets. The algorithms used in this research are Logistic Regression and Random Forest. Based on the evaluation, the best classification model in this research was achieved by implementing the Random Forest algorithm along with SMOTE, with an f1-score value of 75.03%. Meanwhile, implementing the Random Forest algorithm and Stopword Removal achieved the worst classification model, with an f1-score value of 68.09%. Implementing Stopword Removal in both algorithms has a negative impact in the form of a decrease in the resulting f1-score. Meanwhile, the performance of SMOTE provides a positive impact in the form of an increase in the resulting f1-score. This happened since Stopword Removal could reduce information and alter the meaning of processed tweets, causing the tweet to lose its sentiment.
Co-Authors Aji Bagus Perdana, Aji Bagus Aldi Setiawan, Aldi Andreas Christian Anggi Perwitasari Anggi Srimurdianti Sukamto, Anggi Srimurdianti Anugrah, Restu Asyrafi, Muhammad Iqbal Asyrafi, Muhammad Iqbal Chavin Lorento Dimitri Indastri Putra, Dimitri Indastri Enda Esyudha Pratama, Enda Esyudha Evi Fathiyah Muniyati Fajar Istighfar Fikri Zainun Nasihin, Fikri Zainun Hafiz Muhardi Harianto op, Harianto Hatimah, Numrotul Helen Sasty Pratiwi Helen Sasty Pratiwi, Helen Sasty Heri Priyanto Herry Sujaini Hutagalung, Alfan Syahada Indira Melinda Putri Lia Suci Fitriawati Luthfia Justisia Loebis M Iqbal kamiludin, M Iqbal Muhammad Annafri Muhammad Azhar Irwansyah Muhammad Nur Amin Niken Candraningrum Novi Safriadi Novi Safriadi Novia Kusumarani, Novia Nurul Fitri Nurul Hafizah Yadi, Nurul Hafizah Pribadi, Yulizar Raharjo, Agus Prasetyo Rama Ulgasesa Rendi Febriyansyah, Rendi Robi nusantara, Robi Rudy Dwi Nyoto Rudy Dwi Nyoto Rudy Dwi Nyoto Rudy Dwi Nyoto Rudy Dwi Nyoto, Rudy Dwi Sajid, Fahmi Sholva, Yus Steven Steven Sumoko, Ade Triyanto, Hari Tursina Tursina Tursina Tursina Vivensius Mitra, Vivensius Wega Marda Fitri Yulia Magdalena Yulianti Yulianti Yulianti