Aspect-Based Sentiment Analysis
نویسندگان
چکیده
Aspect-Based Sentiment Analysis (ABSA) is an advanced NLP application that aims to identify aspect terms present in the given review and predict sentiment associated with those terms. ABSA better than sentence-based classification because it considers reviews determine rather considering individual sentence. Entrepreneurs could make use of understand customers' opinions about different aspects their products or services. The task Aspect-based analysis can be divided into two subtasks: Aspect Term Extraction (ATE) Classification (ATSC). In this paper, SVM model proposed for ATE, Attention based LSTM ATSC. models will trained tested on SemEval-2014 dataset.
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ژورنال
عنوان ژورنال: International Journal For Multidisciplinary Research
سال: 2023
ISSN: ['2582-2160']
DOI: https://doi.org/10.36948/ijfmr.2023.v05i03.3237