Sentiment Analysis on Movie Reviews in Regional Language Gujarati Using Machine Learning Algorithm
How to Cite?
Parita Shah, Priya Swaminarayan, Maitri Patel, Nimisha Patel, "Sentiment Analysis on Movie Reviews in Regional Language Gujarati Using Machine Learning Algorithm," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 319-326, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P236
The study of conceptual data in an expression, that is, the assessments, evaluations, feelings, or perspectives towards a point, individual, or element, is called sentiment analysis. Expressions can be named positive, negative, or impartial. This paper authors have prepared a dataset of a movie review in Gujarati Language and introduced results generated by the proposed algorithm after performing sentiment analysis by applying different machine learning algorithms on it. The author has created numerous datasets to measure the competencies of the proposed algorithm with different machine learning classifiers. This paper describes how data are collected to create a dataset, Gujarati text pre-processing, feature selection, and classification approach is used. Minor correctness variety might take place in the challenge of applying the same model on the various dataset is likewise expressed in this paper, anyway proposed model has generated sufficient outcomes.
N-gram, Feature selection, sentiment evaluation, Gujarati Language, Film Analysis, Machine classifier.
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