TREND WEIGHT – TRENDINESS DISTANCE - A NOVEL APPROACH TO IDENTIFY TRENDS IN MICROBLOGS

Social media applications are widely used by billions of users who create tons of data. During last decade, this medium has established itself as a strong medium of communication which represents the voice of society. People tend to post almost everything like small event or happening of life through web-based networking media, especially microblogs are famous among these. This phenomenon generates noticeable important data with rich content of ideas, information, habits of mass, happenings and many more. Microblog is a reliable "meter” to identify the voice & flow of society as it reflects the Society but when it comes to analysis, it becomes much more difficult to identify the exact trend from discussions and also time-consuming for anyone as the nature of microblogs like quantum of data available and generated, data not having a well-defined model or structure & limited number of words to express the idea. In this paper, we have proposed a novel approach “Term Weight & Trendiness Distance Implementation to Identify Trendy Terms from Microblogs”