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Sentimental Analysis using Product Review Data


Affiliations
1 Assistant Professor, Sharda University, Greater Noida, Uttar Pradesh,, India
2 Assistant Professor, Sharda University, Uttar Pradesh, Greater Noida,, India
3 Student, Sharda University, Greater Noida, Uttar Pradesh,, India
4 Sharda University, Greater Noida, Uttar Pradesh,, India
     

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Our work systematically analyze the sentiment of product reviews and evaluate the correlation with their corresponding ratings.Sentiment analysis identifies the positive or negative mood represented in a piece of literature. Consumers write reviews withprecise ratings on e-commerce platforms such as Amazon. We’ve noticed that there are occasionally discrepancies between thereview and the rating. We performed deep learning guided sentiment analysis to identify such mismatches from amazon productreview data. We convert reviews to vectors using paragraph vector and use them to develop a neural network using a GRU orgated recurrent unit our perspective makes advantage of both the semantic link between review content and product information.

Keywords

Sentiment Analysis, RNN, SVM, GRU.
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  • Sentimental Analysis using Product Review Data

Abstract Views: 288  |  PDF Views: 0

Authors

Amit Kumar
Assistant Professor, Sharda University, Greater Noida, Uttar Pradesh,, India
Sonia Setia
Assistant Professor, Sharda University, Uttar Pradesh, Greater Noida,, India
Arjun Singh
Student, Sharda University, Greater Noida, Uttar Pradesh,, India
Thomas Abraham
Sharda University, Greater Noida, Uttar Pradesh,, India
Yashaswi Shakya
Sharda University, Greater Noida, Uttar Pradesh,, India

Abstract


Our work systematically analyze the sentiment of product reviews and evaluate the correlation with their corresponding ratings.Sentiment analysis identifies the positive or negative mood represented in a piece of literature. Consumers write reviews withprecise ratings on e-commerce platforms such as Amazon. We’ve noticed that there are occasionally discrepancies between thereview and the rating. We performed deep learning guided sentiment analysis to identify such mismatches from amazon productreview data. We convert reviews to vectors using paragraph vector and use them to develop a neural network using a GRU orgated recurrent unit our perspective makes advantage of both the semantic link between review content and product information.

Keywords


Sentiment Analysis, RNN, SVM, GRU.

References