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All Journal HAYATI Journal of Biosciences Jurnal Lahan Suboptimal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Simantec Journal of Agromedicine and Medical Sciences Buletin Farmatera Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Kreativitas PKM Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan Bioscientia Medicina : Journal of Biomedicine and Translational Research Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal 'Aisyiyah Medika Jurnal Vokasi Madaniya Indonesia Berdaya Jurnal Pengabdian Masyarakat Asia Majalah Kesehatan Indonesia Journal of Applied Data Sciences Jurnal Pengabdian Masyarakat: Humanity and Medicine Bioscientia Medicina : Journal of Biomedicine and Translational Research Britain International of Exact Sciences Journal (BIoEx Journal) Jurnal Abmas Negeri (JAGRI) Jurnal Ilmiah Kesehatan (JIKA) International Journal of Islamic and Complementary Medicine Ahmad Dahlan Medical Journal Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Jurnal Kecerdasan Buatan dan Teknologi Informasi (Medical Scientific Journal) MESINA Ulil Albab
Ramayanti, Indri
Department Of Parasitology And Microbiology, Faculty Of Medicine, Universitas Muhammadiyah Palembang, Indonesia
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Journal : Journal of Applied Data Sciences

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Sentiment and Emotion Classification Model Using Hybrid Textual and Numerical Features: A Case Study of Mental Health Counseling Ramayanti, Indri; Hermawan, Latius; Syakurah, Rizma Adlia; Stiawan, Deris; Meilinda, Meilinda; Negara, Edi Surya; Fahmi, Muhammad; Ghiffari, Ahmad; Rizqie, Muhammad Qurhanul
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.632

Abstract

Mental health issues among individuals, particularly in counseling contexts, require practical tools to understand and address emotional states. This study explores the application of machine learning models for emotion detection in mental health counseling conversations, focusing on four algorithms: Bernoulli Naive Bayes, Decision Tree, Logistic Regression, and Random Forest. The dataset, derived from transcribed counseling sessions, underwent preprocessing, including stemming, stopword removal, and TF-IDF vectorization to create structured inputs for classification. Emotional categories such as "Depresi" (Depression), "Kecewa" (Dissapointed), "Senang" (Happy), "Bingung" (Confused) and "Stres" (Stress) were analyzed to evaluate model performance. Results indicated that Logistic Regression achieved the highest accuracy at 82%, showcasing its reliability and scalability, followed closely by Random Forest with 81%, demonstrating robustness in handling complex data structures. Bernoulli Naive Bayes performed competitively at 80%, excelling in computational efficiency, while Decision Tree recorded the lowest accuracy at 70%, reflecting its limitations in managing overlapping features and high-dimensional data. These findings highlight the potential of machine learning in addressing the increasing demand for scalable mental health support tools. The study underscores the importance of model selection, balanced datasets, and feature engineering to improve classification accuracy. Future work includes developing AI-driven chatbots for real-time emotion detection and integrating multimodal data to enhance interpretability. This research contributes to advancing automated solutions for mental health care, offering new pathways for timely and personalized interventions.
Co-Authors Abdussalam, Muhammad Umar Affandi, Azhar Kholiq Ahmad Ghiffari Ahmad Muslim Akbar, Alexander Alfath, Mochammad Nanda Ardani Alifah Dimar Ramadhina Anggina, Dientyah Nur Anggina, Dientyah Nur Anggraini, Wieke Anita Desiani Annisa Nurul Jannah Arhami, Muhammad Artanto, Ardi Asmalia, Resy Asmarani Makmun Athallah, Muhamad Alaf Atika Safitri Armo Badri, Putri Rizki Amalia Bambang Suprihatin Budi Utama Budi Utama, Budi Chairani, Liza Chairil Anwar Deris Stiawan Des Alwine Zayanti, Des Alwine Dewi Yuniasih Dientya Nur Anggina Edi Surya Negara Fandika Dhimas Fandika Dhimas Prayogi Faradila, Faradila Fatinah Fairuz Qonitah Faturohim, Agus Geovani, Dite Ghina Zalmi Ghina Zalmih Ghufron, Jundi Zahid Giovillando Hamzah Hasyim Hermawan, Arfan Hidayat, Bachtari Alam Husna, Aisyah Mardiatul Indriyani Indriyani Irmeilyana Ismail Ismail Khalifah Hasanah KHM Arsyad, KHM Kuntafie Tarik Al Haq Mukhtarudin kurniawan Laila Rahmawati Latius Hermawan Layal, Kamalia Lindri, Sheilla Yonaka Lucille Anisa Suardin Manalu, Alman Pratama Mayasari, Ni Made Elva Meilinda Meilinda Miranti Dwi Hartanti Mitayani Purwoko, Mitayani Mochammad Nanda Ardani Alfath Muchtar, Ali MUHAMMAD FAHMI Muhammad Ihsan Muhammad Qurhanul Rizqie Muhammad Umar Abdussalam Mukhtarudin, Kuntafie Al Haq Mustaqima, Dina Narti Narti, Narti Noverina, Dea Putri Noviyanti Noviyanti Nurul Qamariah, Nurul Oktariza, Rury Tiara Permana, Adhi Prameswarie, Thia Putri Erlyn Putri Utami Pratiwi Rahma Syifa Aulia Ramadhan, Faishal Fitra Ratih Pratiwi Ratika Febriani Ratika Febriyani Rayani, Ira Resy Asmalia Reynaldi Aulia Rahman Reynaldi Aulia Rahman Reza Al Fath Reza Reza Rio Halim, Muhammat Risdiansyah Risdiansyah Rizma Adlia Syakurah Rosita, Yanti Safitri, Rizka Nabila Sasongko, Muhammad Aditya Shalshabilla, Alysha Titania Sigit Priyanta Silvana, Rista Silvana, Rista Siska Fitriani SITI HERLINDA Siti Husnul Hotimah, Siti Husnul Siti Rohani Suarni, Ertati Tasya Aulia Dita Thia Prameswarie Thia Prameswarie Wieke Anggraini Yadi Utama Yogi Saputra Yogi Saputra, Yogi Zalika, Putri Zilda, Malika