A Study on Sentiment Analysis of Movie Reviews using ML Algorithms
|© 2022 by IJCTT Journal|
|Year of Publication : 2022|
|Authors : Md. Sirajul Huque, V. Kiran Kumar|
|DOI : 10.14445/22312803/IJCTT-V70I9P104|
How to Cite?
Md. Sirajul Huque, V. Kiran Kumar, "A Study on Sentiment Analysis of Movie Reviews using ML Algorithms," International Journal of Computer Trends and Technology, vol. 70, no. 9, pp. 33-37, 2022. Crossref, https://doi.org/10.14445/22312803/IJCTT-V70I9P104
To understand customer preferences, it is now a routine trend in the modern world to gather opinions and recommendations from individuals using a variety of surveys, polls, and social media platforms. Therefore, an accurate and classical mechanism for making assumptions and anticipating sentiments that can fabricate a positive or negative impact in the market is required to understand the sentiments of customers and their view of the services offered by producers. This type of analysis is important for the relationship between producers and consumers. In order to improve customer satisfaction, the key objective of this paper is to study the recommendations that viewers have left for various movies. This study will be used better to comprehend the mindsets and market behavior of the audience. This study uses two algorithms— Logistic Regression and Naive Bayes to analyze consumer perception of various movies and offers concluding observations.
Recommendations, Sentiments, Naive Bayes, Logistic Regression, Perception.
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