Sentence-level aspect-based sentiment analysis for classifying adverse drug reactions (ADRs) using hybrid ontology-XLNet transfer learning
This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for
sentence-level aspects. The main objective of the proposed approach allows discovering
user social data considering the extracted in-depth inference about sentiment depending on
the context. Thus, in this paper, we investigate the contribution of utilizing the lexicalized
ontology to improve the aspect-based sentiment analysis performance through extracting
the indirect relationships in user social data. The XLNet model is utilized for extracting the …
sentence-level aspects. The main objective of the proposed approach allows discovering
user social data considering the extracted in-depth inference about sentiment depending on
the context. Thus, in this paper, we investigate the contribution of utilizing the lexicalized
ontology to improve the aspect-based sentiment analysis performance through extracting
the indirect relationships in user social data. The XLNet model is utilized for extracting the …
[PDF][PDF] Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning
H AL-FEEL - academia.edu
This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for
sentence-level aspects. The main objective of the proposed approach allows discovering
user social data considering the extracted in-depth inference about sentiment depending on
the context. Thus, in this paper, we investigate the contribution of utilizing the lexicalized
ontology to improve the aspect-based sentiment analysis performance through extracting
the indirect relationships in user social data. The XLNet model is utilized for extracting the …
sentence-level aspects. The main objective of the proposed approach allows discovering
user social data considering the extracted in-depth inference about sentiment depending on
the context. Thus, in this paper, we investigate the contribution of utilizing the lexicalized
ontology to improve the aspect-based sentiment analysis performance through extracting
the indirect relationships in user social data. The XLNet model is utilized for extracting the …
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