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@article{153616,
        author = {Deepa and Vasu Garg and Shubh Singla and Dr. Isha Singh},
        title = {Sentiment Analysis by Python using Twitter’s Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {120-121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153616},
        abstract = {The rise of web technology has created a huge amount of data that is collected and used by internet users. The web has become a place for people to discuss and exchange ideas. Social networking sites like Facebook and Twitter have also gained popularity due to their ability to allow people to connect and share their opinions. This survey mainly focuses on the sentiment analysis of Twitter data. It is helpful to analyze the various types of opinions expressed in the tweets and identify their biases.},
        keywords = {},
        month = {},
        }