2024, Vol. 5, Issue 1, Part A
Sentiment analysis for amazon music instruments review
Author(s): Navtej Kumar Singh and Divyansh Khandelwal
Abstract: This paper presents an approach for sentiment analysis to mine sentiments of user reviews by classifying them as per their corresponding ratings along with a graphical visualization of the tests and results. Our proposed solution is based on a convolutional neural network method for classification of the review text. The implementation makes use of Python and its libraries for Natural Language Processing and Data Visualization. The solution also contains a simple predictor tool for user reviews given as input at run-time. The results of our work can be used to better understand customer feedback by e- commerce companies to mitigate the factors that lead to low ratings and to optimize the factors that customers appreciate. The novelty of this research lies mainly in the usage of neural networks and Python package SpaCy for sentiment analysis. We put forward our approach along with its implementation, evaluation, visualization and conclusion.
DOI: 10.22271/27084531.2024.v5.i1a.59
Pages: 01-10 | Views: 412 | Downloads: 137
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How to cite this article:
Navtej Kumar Singh, Divyansh Khandelwal. Sentiment analysis for amazon music instruments review. Int J Res Circuits Devices Syst 2024;5(1):01-10. DOI: 10.22271/27084531.2024.v5.i1a.59
