Shah, ParitaParitaShahSwaminarayan, PriyaPriyaSwaminarayanPatel, MaitriMaitriPatelPatel, NimishaNimishaPatel2025-08-312025-08-312022-01-0110.14445/22315381/IJETT-V70I1P2362-s2.0-85124126425https://d8.irins.org/handle/IITG2025/26313The 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.falseFeature selection | Film Analysis | Gujarati Language | Machine classifier | N-gram | Sentiment evaluationArticle22315381313-326January 20222arJournal0