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@article{148141,
        author = {Amrutha T Shetty and Chaithanya G Acharya and Pavithra and Mrs. Suchetha G},
        title = {Tracking Down of Spam in Online Social Media},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {533-539},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148141},
        abstract = {Nowadays, a massive a part of humans depend on to be had content material in social media of their choices (e.g., critiques and comments on a topic or product). The possibility that all and sundry can leave a review presents a golden possibility for spammers to put in writing junk mail evaluations about services and products for unique pastimes. Identifying these spammers and the junk mail content is a warm subject matter of research, and even though a extensive range of studies had been accomplished lately toward this quit, however to date the methodologies put forth nonetheless barely discover junk mail reviews, and none of them show the significance of each extracted feature type.},
        keywords = {Data Mining, Data Analytics, Reviews, Spam Detection.},
        month = {},
        }