Articles Journal
1. Habbat Nassera , Nouri Hicham, «Unlocking travel narratives: a fusion of stacking ensemble deep learning and neural topic modeling for enhanced tourism comment analysis», Social Network Analysis and Mining , vol 14, no 82, pp. 81-105, 2024. https://doi.org/10.1007/s13278-024-01256-3. (Indexé Scopus Q1)
1. Habbat Nassera , Nouri Hicham, Anoun Houda, et Hassouni Larbi, « Sentiment analysis of imbalanced datasets using BERT and Ensemble Stacking for deep learning», Eng. Appl. Artif. Intell., 2023. (Indexé Scopus Q1)
2. Nouri Hicham, Habbat Nassera , et Sabri Karim, « A thorough analysis of E-commerce customer reviews in Arabic language using deep learning techniques for successful marketing decisions », in IAENG International Journal of Applied Mathematics, 2023. (Accepté/Indexé Scopus Q4)
3. Nouri Hicham, Sabri Karim, et Habbat Nassera , «Enhancing Arabic Sentiment Analysis in E-Commerce Reviews on Social Media Through a Stacked Ensemble Deep Learning Approach», in Mathematical Modelling of Engineering Problems, 2023. (Indexé Scopus Q3)
4. Nouri Hicham, Sabri Karim, et Habbat Nassera , « Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach », Int. J. Electr. Comput. Eng. IJECE, vol. 13, no 4, p. 4504, août 2023, doi: 10.11591/ijece.v13i4.pp4504-4515. (Indexé Scopus Q2)
5. Habbat Nassera , Anoun houda, et Hassouni Larbi, «Combination of GRU and CNN deep learning models for sentiment analysis on French customer reviews using XLNet model», in IEEE Engineering Management Review,p.1-9, Septembre 2022, doi: 10.1109/EMR.2022.3208a818. (Indexé Scopus Q1)
6. Habbat Nassera , Anoun houda, et Hassouni Larbi, « A Novel Hybrid Network for Arabic Sentiment Analysis using fine-tuned AraBERT model », Int. J. Electr. Eng. Inform., p. 12, 2021, doi: 10.15676/ijeei.2021.13.4.3. (Indexé Scopus Q2)
7. Habbat Nassera , Anoun Houda, et Hassouni Larbi, « AraBERTopic: A Neural Topic Modeling Approach for News Extraction from Arabic Facebook Pages using Pre-trained BERT Transformer Model », Int. J. Comput. Digit. Syst., vol. 14, no 1, p. 1‑8, juill. 2023, doi: 10.12785/ijcds/140101. (Indexé Scopus Q3)
8. Habbat Nassera , Anoun Houda, Hassouni Larbi, et Nouri Hicham, «Use of Neural Topic Models in conjunction with Word Embeddings to extract meaningful topics from short texts», In : EAI Endorsed Trans IoT, vol. 8, no. 3, p. e2, Sep. 2022. https://doi.org/10.4108/eetiot.v8i3.2263, 2022.
9. Habbat Nassera , Anoun Houda, et Hassouni Larbi, «Sentiment Analysis and Topic Modeling on Arabic Twitter Data during Covid-19 Pandemic», In : Indonesian Journal of Innovation and Applied Sciences (IJIAS), 2(1), 60-67. https://doi.org/10.47540/ijias.v2i1.432, 2022.
Chapitres de livre
1. Habbat Nassera , Anoun Houda, Hassouni Larbi, et Nouri Hicham, «Moroccan sentiment classification based on DarijaBERT and stacking deep learning model », In: Saidi, R., El Bhiri, B., Maleh, Y., Mosallam, A., Essaaidi, M. Kaabouch, N. (eds) Advanced Technologies for Humanity. ICATH 2022. Lecture Notes on series Advances in Science, Technology, Innovation, Springer, 2023. (en cours de publication/Indexé Scopus et WoS)
2. Habbat Nassera , Anoun Houda, Hassouni Larbi, et Nouri Hicham, «Hotel demand forecasting via Booking's comments using sentiment analysis and topic modeling techniques», In: Saidi, R., El Bhiri, B., Maleh, Y., Mosallam, A., Essaaidi, M. Kaabouch, N. (eds) Advanced Technologies for Humanity. ICATH 2022. Lecture Notes on series Advances in Science, Technology, Innovation, Springer, 2023. (en cours de publication/Indexé Scopus et WoS)
3. Nouri Hicham, Sabri Karim, et Habbat Nassera , «Novel approach and Innovative strategy for mall customer segmentation using machine learning techniques», In: Saidi, R., El Bhiri, B., Maleh, Y., Mosallam, A., Essaaidi, M. Kaabouch, N. (eds) Advanced Technologies for Humanity. ICATH 2022. Lecture Notes on series Advances in Science, Technology, Innovation, Springer, 2023. (en cours de publication//Indexé Scopus et WoS)
4. Habbat Nassera , Anoun Houda, et Hassouni Larbi, «LSTM-CNN Deep Learning Model for French Online Product Reviews Classification», In: Saidi, R., El Bhiri, B., Maleh, Y., Mosallam, A., Essaaidi, M. (eds) Advanced Technologies for Humanity. ICATH 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 110. Springer, Cham. https://doi.org/10.1007/978-3-030-94188-8_22, 2022. (Indexé Scopus et WoS)
5. Habbat Nassera , Anoun Houda, et Hassouni Larbi, «Topic Modeling and Sentiment Analysis with LDA and NMF on Moroccan Tweets», In: Ben Ahmed, M., Rakıp Karaș, İ., Santos, D., Sergeyeva, O., Boudhir, A.A. (eds) Innovations in Smart Cities Applications Volume 4. SCA 2020. Lecture Notes in Networks and Systems, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_12. 2021 (Indexé Scopus)
6. Habbat Nassera , Anoun Houda., et Hassouni Larbi, «Exploration, Sentiment Analysis, Topic Modeling, and Visualization of Moroccan Twitter Data», In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-90639-9_87, 2022. (Indexé WoS)
Proceeding
1. Nouri Hicham, Habbat Nassera , et Sabri Karim, «Enhancing Arabic E-Commerce Review Sentiment Analysis Using a hybrid Deep Learning Model and FastText word embedding» , In; EAI 2nd International Conference on Intelligent Systems and Machine Learning, 2023. (en cours de publication/Indexé Scopus et WoS)
2. Nouri Hicham, Sabri Karim, et Habbat Nassera , «A comprehensive analysis of Consumers Sentiments using an Ensemble Based Approach for effective marketing decision-making» , In; 2nd Artificial Intelligence & Industrial Applications A2IA'2023, 2023. (Indexé Scopus et WoS)
3. Habbat Nassera , Nouri Hicham, Anoun Houda, et Hassouni Larbi, « Using AraGPT and ensemble deep learning model for sentiment analysis on Arabic imbalanced dataset », ITM Web Conf., vol. 52, p. 02008, 2023, doi: 10.1051/itmconf/20235202008. (Indexé WoS)
4. Habbat Nassera , Anoun Houda, Hassouni Larbi, et Nouri Hicham, «Using neural topic model and CamemBERT to extract topics from Moroccan news in the French language », AIP Conf. Proc., vol. 2814, no 1, p. 020004, juill. 2023, doi: 10.1063/5.0148733. (Indexé Scopus et WoS)
5. Nouri Hicham, Sabri Karim, et Habbat Nassera , «An efficient approach for improving customer Sentiment Analysis in the Arabic language using an Ensemble machine learning technique», In : 5th International Conference on Advanced Communication Technologies and Networking (CommNet), Marrakech, Morocco. 2022, pp. 1-6, doi: 10.1109/CommNet56067.2022.9993924, 2022. (Indexé Scopus)
6. Habbat Nassera , Anoun Houda., et Hassouni Larbi, « Extracting topics from a tv channel's facebook page using contextualized document embedding», In : Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 245–249, https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-245-2021, 2021. (Indexé Scopus)
