Applying deep learning for improving the results of sentiment analysis of Persian comments of Online retail stores
Subject Areas : ICT
faezeh forootan
1
(phd candidate)
Mohammad Rabiei
2
(assistant professo)
Keywords: Sentiment Analysis, Persian Language, CNN-BiLSTM, BERT, Retail Market,
Abstract :
چكيده انگليسيThe retail market industry is one of the industries that affects the economies of countries, the life of which depends on the level of satisfaction and trust of customers to buy from these markets. In such a situation, the retail market industry is trying to provide conditions for customer feedback and interaction with retailers based on web pages and online platforms. Because the analysis of published opinions play a role not only in determining customer satisfaction but also in improving products. Therefore, in recent years, sentiment analysis techniques in order to analyze and summarize opinions, has been considered by researchers in various fields, especially the retail market industry.
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