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@article{144079,
        author = {Laxmi Prashanthi Karnati and BVNSS Pavan and Manikandan},
        title = {Web Mining for Social Media Analysis using NLP},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {6},
        pages = {30-34},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144079},
        abstract = {Monitoring and analyzing the social media content is one of the new trends in technology business. The content posted on social media is in Natural Language and we should be able to extract correct information from it. In order to be able to understand Natural Language, a system must be Intelligent. We can induce intelligence using the Machine Learning techniques. NLP (Natural Language Processing) techniques are used in social media monitoring to improve accuracy in sentiment analysis and extracting information. Thus, this paper examines the NLP techniques along with the traditional web mining techniques that are important for such analysis.},
        keywords = {Web mining, Text mining, Text analysis, Pattern analysis, Social Media Analysis, Natural Language Processing.},
        month = {},
        }