Abstract
With the digital media explosion, in today’s increasing Internet usage, the data generated is wide and varied. Huge volumes of new data are injected daily into the Web for various prospects. Procedures like text mining and analysis are required to make the best use of this potential. User review analysis benefits us with the exact understanding of the user’s feedback toward the product. In this paper, we have proposed a unique approach by performing abstract-level sentimental analysis of user review by n-gram classification and POS tagging. This classification is then used as entropy for machine learning algorithm. This paper leverages upon the proposed methodology with promising outcomes and improved accuracy by evaluating the data with the help of two algorithms, MaxEnt model and Naïve Bayes classifier, after analyzing few algorithms including SVM and random forest.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sentiment Analysis and Classification Based on Textual Reviews—IEEE Conference Publication. Ieeexplore.ieee.org. (2018). Retrieved 17 Feb 2018, from http://ieeexplore.ieee.org/document/6508366/
Statistical and Sentiment Analysis of Consumer Product Reviews—IEEE Conference Publication. Ieeexplore.ieee.org. (2018). Retrieved 19 Feb 2018, from http://ieeexplore.ieee.org/document/8203960/
Miner, G., Delen, D., Elder IV, J., Fast, A., Hill, T., Nisbet, R.: Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications [online]. Elderresearch.com. (2012). Available at: https://www.elderresearch.com/hubfs/Whitepaper_The_Seven_Practice_Areas_of_Text_Analytics_Chapter_2_Excerpt.pdf. Accessed 8 Jun 2018
Fang, X., Zhan, J.: Sentiment analysis using product review data. J. Big Data 2(1) (2015). https://doi.org/10.1186/s40537-015-0015-2
What are N-Grams? [online]. Text-analytics101.rxnlp.com. (2019). Available at: https://www.text-analytics101.rxnlp.com/2014/11/what-are-n-grams.html. Accessed 25 Mar 2019
Categorizing and Tagging Words. Nltk.org. (2018). Retrieved 10 June 2018, from https://www.nltk.org/book/ch05.html
What is Machine Learning? A definition—Expert System. Expertsystem.com. (2017). Retrieved 9 June 2018, from https://www.expertsystem.com/machine-learning-definition/
Natural Language Processing—Maximum Entropy Modeling Algorithm and Sentiment Analysis Problem. Viblo. (2018). Retrieved 9 June 2018, from https://viblo.asia/p/natural-language-processing-maximum-entropy-modeling-algorithm-and-sentiment-analysis-problem-xQMkJDjaGam
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shah, A., Kothari, K., Thakkar, U., Khara, S. (2020). User Review Classification and Star Rating Prediction by Sentimental Analysis and Machine Learning Classifiers. In: Tuba, M., Akashe, S., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-13-7166-0_27
Download citation
DOI: https://doi.org/10.1007/978-981-13-7166-0_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-7165-3
Online ISBN: 978-981-13-7166-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)