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@article{152061,
        author = {Arpita Gupta and Anshu Gupta and Dr. Himani Mittal},
        title = {Aspect Category Sentiment Analysis based on machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {300-302},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152061},
        abstract = {Sentiment Analysis is that the procedure of computationally deciding if a touch of composing is for certain, negative or nonpartisan. It's otherwise called supposition mining, inferring the sentiment or frame of mind of a user. In this paper, an attempt has been made to propose analysis method for sentiment analysis using a paragraph. In proposed method polarity of each paragraph is calculate to distinguish whether sentiment is positive, negative or neutral. A sentiment polarity is that the emotions of user like angry, sad, happy and joy. The proposed mechanism has been implemented in Python. },
        keywords = {sentiment analysis, python, emotion, text, mining.},
        month = {},
        }