Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{143700,
        author = {MANU KRISHNA BHARDWAJ and  Brajesh Kumar},
        title = {Analyzing Twitter data for Multiple languages by applying machine learning Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {1},
        pages = {43-48},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143700},
        abstract = {Most of the people are using social network sites these days to express their ideas/views about any event or product. These ideas are in English language. But in a Country like ours these may be in multi lingual because there are fifteen languages recognized in our constitution. In this paper we implement a text mining process on the basis of multi-disciplinary language by apply machine learning tool and techniques. So the performance of opinion mining increases by using Multiple Languages as compare to single language. },
        keywords = {Positive Word, Negative Word, Word Cloud, Bayes theorem, Classification, Hindi Words, Hindi Spelled in English Words },
        month = {},
        }