Toward a multitask aspect-based sentiment analysis model using deep learning - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IAES International Journal of Artificial Intelligence (IJ-AI) Année : 2022

Toward a multitask aspect-based sentiment analysis model using deep learning

Résumé

Sentiment analysis or opinion mining is used to understand the community’s opinions on a particular product. This is a system of selection and classification of opinions on sentences or documents. At a more detailed level, aspect-based sentiment analysis makes an effort to extract and categorize sentiments on aspects of entities in opinion text. In this paper, we propose a novel supervised learning approach using deep learning techniques for a multitasking aspect-based opinion mining system that supports four main subtasks: extract opinion target, classify aspect, classify entity (category) and estimate opinion polarity (positive, neutral, negative) on each extracted aspect of the entity. We have used a part-of-speech (POS) layer to define the words’ morphological features integrated with GloVe word embedding in the previous layer and fed to the convolutional neural network_bidirectional long-short term memory (CNN_BiLSTM) stacked construction to improve the model’s accuracy in the opinion classification process and related tasks. Our multitasking aspect-based sentiment analysis experiments on the dataset of SemEval 2016 showed that our proposed models have obtained and categorized core tasks mentioned above simultaneously and attained considerably better accurateness than the advanced researches.
Fichier principal
Vignette du fichier
2022-IJ-AI-Toward a multitask aspect-based sentiment analysis model using deep learning.pdf (572.4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03766855 , version 1 (01-09-2022)

Identifiants

Citer

Trang Uyen Tran, Ha Thanh Thi Hoan, Phuong Hoai Dang, Michel Riveill. Toward a multitask aspect-based sentiment analysis model using deep learning. IAES International Journal of Artificial Intelligence (IJ-AI), 2022, 11 (2), pp.9. ⟨10.11591/ijai.v11.i2.pp516-524⟩. ⟨hal-03766855⟩
109 Consultations
87 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More