Publications acceptées dans des revues scientifiques internationales (non payantes)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “A Survey on Aspect Extraction: Approaches and Datasets”, SN Computer Science, vol. 6, no. 7, pp. 1–45, 2025. DOI: 10.1007/s42979-025-04437-9. (SJR Quartile: Q2, Impact Factor: 3.1)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “A Hybrid Method for Enhancing Aspect Sentiment Classification in the French Language: Combining Rule-Based and Learning Methods”, International Journal of Data Science and Analytics, vol. 19, no. 3, pp. 551–571, 2025. DOI: 10.1007/s41060-024-00667-x. (SJR Quartile: Q2, Impact Factor: 2.8)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “A Hybrid Method Based on Rules and Deep Learning for Enhancing Single-Word and Multi-Word Aspects Extraction from French Reviews”, International Journal of Modern Education and Computer Science (IJMECS), vol. 16, no. 4, pp. 1–16, 2024. DOI: 10.5815/ijmecs.2024.04.01.
(SJR Quartile: Q3, Impact Factor: 0.6)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “Advancing Aspect-Based Sentiment Analysis with a Novel Architecture Combining Deep Learning Models CNN and Bi-RNN with the Machine Learning Model SVM”, Social Network Analysis and Mining, vol. 13, no. 1, p. 117, 2023. DOI: 10.1007/s13278-023-01126-4. (SJR Quartile: Q2, Impact Factor: 2.8)
Communications publiées dans des conférences internationales
Hammi Sarsabene, Sameh Kchaou, Mezghani Hammami Souha, Hadrich Belguith Lamia, “An Advanced Neural Network Architecture Combining CNN, Bi-LSTM and CamemBERT for Sentiment Analysis in French”, Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025), pp. 48–59, Singapore, 2025. DOI: 10.1007/978-981-96-5887-9_4. (Classe : B selon CORE 2023)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “FreMPhone: A French Mobile Phone Corpus for Aspect-Based Sentiment Analysis”, International Conference on Computational Collective Intelligence (ICCCI 2023), pp. 237–249, Switzerland, 2023. DOI: 10.1007/978-3-031-41774-0_19. (Classe : B selon CORE 2023)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “Deep Learning Models for Aspect-Based Sentiment Analysis Task: A Survey Paper”, International Conference on Intelligent Systems and Pattern Recognition (ISPR 2023), pp. 169–183, Tunisia, 2023. DOI: 10.1007/978-3-031-46338-9_13. (Indexée SCOPUS et DBLP)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “Aspect Term Extraction Improvement Based on a Hybrid Method”, International Symposium on Foundations of Intelligent Systems (ISMIS 2022), pp. 85–94, Cham, 2022.
DOI: 10.1007/978-3-031-16564-1_9. (Classe : C selon CORE 2023)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “An Improved Hybrid Method for Sentiment Analysis”, International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2022), pp. 1–16, Biarritz, 2022. DOI: 10.1109/INISTA55318.2022.9894143. (Classe : C selon CORE 2023)
Hammi Sarsabene, Mezghani Hammami Souha, Hadrich Belguith Lamia, “Improving the Performance of the Lexical Approach for Sentiment Analysis by Introducing Polarity Calculation Rules”, International Business Information Management Association Conference (IBIMA 2019), Spain, 2019. DOI: 10.1109/INISTA55318.2022.9894143. (Classe : B selon CORE 2018)