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- W4250595748 abstract "This paper aims to analyse the online social network for reconnaissance of people for finding their potentiality. The work considers one of the famous social networking sites, Twitter, where people express their thoughts and ideas, through which the people in the site knowingly or unknowingly reveal the information about themselves such as personal interests, likes and dislikes. The Machine Learning technique facilitates the work to mine the tweet data of a person to get his/her 360-degree profiling. This profiling is helpful to identify the personality type of a person, which is essential for the Government to identify the people involved in spreading the fake news in Twitter." @default.
- W4250595748 created "2022-05-12" @default.
- W4250595748 date "2019-12-30" @default.
- W4250595748 modified "2023-09-30" @default.
- W4250595748 title "A Machine Learning-based Online Social Network Analysis for 360-degree User Profiling" @default.
- W4250595748 doi "https://doi.org/10.35940/ijitee.b1103.1292s219" @default.
- W4250595748 hasPublicationYear "2019" @default.
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