Uso de Chatbots com Análise de Sentimentos em Ambientes Virtuais: Uma Revisão Sistemática de Literatura
Resumo
Este estudo apresenta uma Revisão Sistemática da Literatura sobre o uso de chatbots com análise de sentimentos em Ambientes Virtuais de Aprendizagem (AVAs). A pesquisa seguiu as diretrizes do protocolo PRISMA 2020, investigando artigos publicados entre 2021 e 2025 em repositórios nacionais e internacionais. A partir de 3682 estudos identificados, 16 foram selecionados para análise final. Os resultados mostram maior utilização de técnicas de Aprendizado de Máquina e de Aprendizado Profundo, além do uso de plataformas como Dialogflow, Rasa e IBM Watson Assistant. Conclui-se que a integração dessas tecnologias pode contribuir para interações mais humanizadas e para o apoio ao aprendizado dos estudantes em AVAs.
Palavras-chave:
Chatbots, Análise de Sentimentos, Revisão Sistemática de Literatura
Referências
Balamurali, O., Abhishek Sai, A., Karthikeya, M., and Anand, S. (2023). Sentiment analysis for better user experience in tourism chatbot using LSTM and LLM. In 2023 9th International Conference on Signal Processing and Communication (ICSC), pages 456–462.
Chindukuru, S. S., Eswar A, B., and A, C. (2024). Human emotion based consoling and empathetic chatbot. In 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon), pages 1–5.
Du, Y. and Reynolds, B. L. (2025). Rooted in and beyond interaction: A systematic review of interactive affordances of chatbots for language learning amidst the rise of large language models.
Huang, X. (2022). Ideal construction of chatbot based on intelligent depression detection techniques. In 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), pages 511–515.
Kaushik, P., Renuka, Parihar, S., Khalid, M. S., Sharma, U. C., and Mary, J. J. (2024). Enhancing Emotional Support Chatbots Using Deep Learning & NLP: A Study on Personalization and Effectiveness. In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), pages 1416–1421.
Krabashini, N. P., Guo, J., Chen, J., Han, B., and Dai, Z. (2024). Enhancing emotion detection in chatbots for improved mental health support: Addressing limitations in mental disorders and emotion detection. In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pages 1–6.
Kuhail, M. A., Alturki, N., Alramlawi, S., and Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28:973–1018.
Li, Q., Ma, Y., and Xia, C. (2025). Development and implementation of intelligent psychological counseling platform for college students based on deep learning algorithm. In Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference, EDCS '25, page 13–18, New York, NY, USA. Association for Computing Machinery.
Mendes, C., Pereira, R., Frazao, L., Ribeiro, J. C., Rodrigues, N., Costa, N., Barroso, J., and Pereira, A. M. J. (2025). Emotionally Intelligent Customizable Conversational Agent for Elderly Care: Development and Impact of Chatto. In Proceedings of the 11th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI '24, page 208–214, New York, NY, USA. Association for Computing Machinery.
Murase, S. and Andritsch, J. (2024). Integrating sentiment analysis to enhance mental health support chatbots. In 2024 2nd International Conference on Computing and Data Analytics (ICCDA), pages 1–6.
Nayinzira, J. P. and Adda, M. (2024). Sentimentcarebot: Retrieval-augmented generation chatbot for mental health support with sentiment analysis. Procedia Computer Science, 251:334–341. 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare EUSPN/ICTH 2024.
Nezhad, M. M., Kisomi, M. A., and Gholinezhad, F. (2025). Adaptive Persuasion in Conversational AI: An LLM-Driven Framework for Dynamic Strategy Switching via Personality and Sentiment Analysis. In 2025 11th International Conference on Web Research (ICWR), pages 145–149.
Noorani, S. H., Khan, S., Mahmood, A., Ishtiaq, M., Rauf, U., and Ali, Z. (2023). Transformative Conversational AI: Sentiment Recognition in Chatbots via Transformers. In 2023 25th International Multitopic Conference (INMIC), pages 1–6.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The prisma 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372:n71.
Paulo Ricardo Knob, S. R. M. (2022). Modeling an empathetic embodied conversational agent. In BDTD, pages 1–7.
Rosli, N., Jie, A. C. M., Chze, L. W., Faan, N. C. Z., and Liang, Y. N. (2022). Emotion based chatbot using deep learning. In 2022 International Conference on Future Trends in Smart Communities (ICFTSC), pages 65–69.
Santos, I. M. (2023). ISA: Assistente Senciente Integrado ao AVA Moodle. Master's thesis, FURG - Universidade Federal do Rio Grande.
Singh, A., Singh, S. K., and Chaubey, P. K. (2025). NOVA: Advance Virtual Assistant Empowered by Sentiment Analysis for Precision and Accuracy. In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI), volume 3, pages 990–995.
Sumitha, T., Sreeja, N. G., Prasanna, M. G., and Priyanka, M. (2025). Building a Digital Psychologist: An AI-Based Approach to Mental Health Support Using NLP And Therapeutic Models. In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), pages 1–6.
Vistorte, A. O. R., Deroncele-Acosta, A., Ayala, J. L. M., Barrasa, A., López-Granero, C., and Martí-González, M. (2024). Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review.
Chindukuru, S. S., Eswar A, B., and A, C. (2024). Human emotion based consoling and empathetic chatbot. In 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon), pages 1–5.
Du, Y. and Reynolds, B. L. (2025). Rooted in and beyond interaction: A systematic review of interactive affordances of chatbots for language learning amidst the rise of large language models.
Huang, X. (2022). Ideal construction of chatbot based on intelligent depression detection techniques. In 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), pages 511–515.
Kaushik, P., Renuka, Parihar, S., Khalid, M. S., Sharma, U. C., and Mary, J. J. (2024). Enhancing Emotional Support Chatbots Using Deep Learning & NLP: A Study on Personalization and Effectiveness. In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), pages 1416–1421.
Krabashini, N. P., Guo, J., Chen, J., Han, B., and Dai, Z. (2024). Enhancing emotion detection in chatbots for improved mental health support: Addressing limitations in mental disorders and emotion detection. In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pages 1–6.
Kuhail, M. A., Alturki, N., Alramlawi, S., and Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28:973–1018.
Li, Q., Ma, Y., and Xia, C. (2025). Development and implementation of intelligent psychological counseling platform for college students based on deep learning algorithm. In Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area Education Digitalization and Computer Science International Conference, EDCS '25, page 13–18, New York, NY, USA. Association for Computing Machinery.
Mendes, C., Pereira, R., Frazao, L., Ribeiro, J. C., Rodrigues, N., Costa, N., Barroso, J., and Pereira, A. M. J. (2025). Emotionally Intelligent Customizable Conversational Agent for Elderly Care: Development and Impact of Chatto. In Proceedings of the 11th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI '24, page 208–214, New York, NY, USA. Association for Computing Machinery.
Murase, S. and Andritsch, J. (2024). Integrating sentiment analysis to enhance mental health support chatbots. In 2024 2nd International Conference on Computing and Data Analytics (ICCDA), pages 1–6.
Nayinzira, J. P. and Adda, M. (2024). Sentimentcarebot: Retrieval-augmented generation chatbot for mental health support with sentiment analysis. Procedia Computer Science, 251:334–341. 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare EUSPN/ICTH 2024.
Nezhad, M. M., Kisomi, M. A., and Gholinezhad, F. (2025). Adaptive Persuasion in Conversational AI: An LLM-Driven Framework for Dynamic Strategy Switching via Personality and Sentiment Analysis. In 2025 11th International Conference on Web Research (ICWR), pages 145–149.
Noorani, S. H., Khan, S., Mahmood, A., Ishtiaq, M., Rauf, U., and Ali, Z. (2023). Transformative Conversational AI: Sentiment Recognition in Chatbots via Transformers. In 2023 25th International Multitopic Conference (INMIC), pages 1–6.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The prisma 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372:n71.
Paulo Ricardo Knob, S. R. M. (2022). Modeling an empathetic embodied conversational agent. In BDTD, pages 1–7.
Rosli, N., Jie, A. C. M., Chze, L. W., Faan, N. C. Z., and Liang, Y. N. (2022). Emotion based chatbot using deep learning. In 2022 International Conference on Future Trends in Smart Communities (ICFTSC), pages 65–69.
Santos, I. M. (2023). ISA: Assistente Senciente Integrado ao AVA Moodle. Master's thesis, FURG - Universidade Federal do Rio Grande.
Singh, A., Singh, S. K., and Chaubey, P. K. (2025). NOVA: Advance Virtual Assistant Empowered by Sentiment Analysis for Precision and Accuracy. In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI), volume 3, pages 990–995.
Sumitha, T., Sreeja, N. G., Prasanna, M. G., and Priyanka, M. (2025). Building a Digital Psychologist: An AI-Based Approach to Mental Health Support Using NLP And Therapeutic Models. In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), pages 1–6.
Vistorte, A. O. R., Deroncele-Acosta, A., Ayala, J. L. M., Barrasa, A., López-Granero, C., and Martí-González, M. (2024). Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review.
Publicado
05/10/2026
Como Citar
SANTOS, Isadora Martins; ACHKAR, Roberto; SANTOS, Helida S.; BARWALDT, Regina.
Uso de Chatbots com Análise de Sentimentos em Ambientes Virtuais: Uma Revisão Sistemática de Literatura. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 37. , 2026, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 360-371.
DOI: https://doi.org/10.5753/sbie.2026.27144.
