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@article{155631,
        author = {yallanki vikas and K. Nagendra chary},
        title = {SENTIMENT ANALYSIS USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {5},
        pages = {443-450},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155631},
        abstract = {Social medias are one of the main platforms for promoting
, commenting and sharing information, ideas, interests, and different kinds of expression through digital groups and social networks. The present generation is full of Micro-blogging and millions of customers share and propose their perspectives and critiques on diverse everyday existence regarding them through social media systems like Twitter, snapchat and Facebook and Instagram. Data from those web sites may be used for advertising or social studies. People describe their feelings, hate, love and their views at the social media dialogue forums or social campaigns.  The enterprise agencies hire researchers to analyze the unrevealed statistics approximately their merchandise and services. The programs of sentiment evaluation embody the regions like social occasion planning, election campaigning, healthcare monitoring, purchaser merchandise and attention services.},
        keywords = {},
        month = {},
        }