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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sains Dan Teknologi (SAINTEKBU) INOVTEK Polbeng - Seri Informatika Building of Informatics, Technology and Science Infotek : Jurnal Informatika dan Teknologi Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal La Multiapp Curtina Jurnal Pengabdian Pada Masyarakat METHABDI Prosiding Seminar Riset Mahasiswa SAINTEK Abdisembrani: Jurnal Pengabdian Masyarakat Jurnal ilmiah teknologi informasi Asia
Andik Adi Suryanto
Universitas PGRI Ronggolawe
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Physics Public Health Other

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Journal : Journal La Multiapp

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Food and Beverage Product Review Sentiment Analysis on E-Commerce with Word Embedding and LSTM Bowo, Herry; Suryanto, Andik Adi; Arifia, Amaludin
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2468

Abstract

Sentiment analysis is a widely used method to understand customer opinions about a product. This study aims to analyze the sentiment of food and beverage product reviews on the Tokopedia marketplace using the Long Short-Term Memory (LSTM) approach and word embedding. The data used consisted of customer reviews that were categorized into three sentiment classes, namely positive, neutral, and negative. The model was developed through a series of stages of preprocessing, embedding, training with LSTM, as well as performance evaluation using accuracy and F1-score metrics. The results show that the developed model is able to classify sentiment with a fairly high level of accuracy. Based on the results of the final test on 5,000 data, the model managed to classify 122 data as negative, 130 data as neutral, and 4,871 data as positive, although it still showed an imbalance in class classification. Further analysis through word cloud visualization showed that words like "delicious", "steady", and "good" dominated the positive sentiment, while words like "disappointed", "broken", and "slow" often appeared in negative sentiment. This study provides valuable insights for businesses in understanding customer opinions and improving the quality of products and services.
Co-Authors Abdullah Nur Huda Adityo Nugroho, Adityo Akmalul Mu’minin Al Mubarok, Bagus Alam, Sitti Nur Alfa Nurfahma Rosalita Alfia Nurlifa Alfian Nurlifa Alfian Nurlifa Alfianisa Hanny Saputri Amaluddin Arifia Amaludin Arifia Amaludin Arifia Amin Masnun Ammar Ma'ruf Andri Tri Setiawan Arifia, Amaludin Arina Rosyida Aris Wijayanti Aris Wijayanti Asfan Muqtadir Asfan Muqtadir Asfan Muqtadir Asfan Muqtadir Azifatin Ni'ayah Bangkit Setyawan, Dany Meiko Bowo, Herry Dewi, Lestari Rozita Dito, Himawan Pramu Diva Elydiya Yahya Dodik Jihar Ananta Dwi Kurnia Basuki Dwi Yulianto Eko Prayudi Yustisio Farkhan, Muhamad Farir Fitroh Amaluddin Fitroh Amaluddin Fitroh Amaluddin Fitroh Amaludin Ghozali, Daniel Reredo Ahmad Haryoko, Andy Heru Prastyo Ihda Maulidia Nurul Farida Imron Rosyidi, Imron Iwan Adhicandra Karya Suhada Kholid Fathoni Kraugusteeliana Kraugusteeliana Krishna Tri Sanjaya Luluk Purwanti M.Farid Musthofa Mahendra Dodik Sugiyanto Marita Ika Joesidawati Mar’atus Sholihah Mellynda Oktaviana Miftahurrohman Mochamad Zaenal Fanani Nafisah, Jauharotun Nia Maulina Ridiani Nur Suci Rahayu Nurul Hidayah Prakoso, Adityo Dwi Puspitaningrum, Fitria Putra, Muharrom Yoga Putri Milenia Rifta Dewi Fortuna Rika Harnita Ririn Safitri Rochman, Apriatur Sahla Saqilla Saputri, Alfianisa Sari, Fitria Atika Sarofah, Maratus Sasmita, Niken Diah Siti Nurjanah Siti Rachmawati Siti Rachmawati SITI RACHMAWATI Sitti Nur Alam SUPRAPTO Suprapto Suprapto Suwarsih Suwarsih Thoyyib Mau lana Muhtadin Tsalis Rahmawati Uswatun Chasanah Wahyu Candra, Moh. Wenda, Alex Widjaja, Warkianto Wijaya, Hamid Yuliana, Nian Yulistyadi Firman Dwi P.