A REVIEW ON SOCIAL MEDIA ANALYSIS: CHALLENGES AND APPLICATION

Shachi Shukla, Seema Narvare, Chetan Agrawal

Abstract


Social networks (SNs), such as Facebook, Twitter and WeChat have emerged and tightly connected web clients all over the world. By analyzing and mining social networks, we could assemble information on the comments made by people with respect to a particular product. Analysis of such comments shows its value for the design of marketing and advertising campaigns. The typical examples are viral marketing, influential bloggers finding, social advertising, social healthcare, expert finding, personalized commendation, citation networks, and so on. Social media includes interactive applications and proposals for creation, sharing and replacing client-produced matters. The earlier period of few years have brought vast escalation in social media, particularly social networking services, and it’s varying our systems to systematize and correspond. It aggregates judgments and sentiments of various clusters of group at low price. Mining the characteristics and matters of social media provides us a prospect to find out social organization attributes, to evaluate action prototypes qualitatively and quantitatively, and rarely calculate upcoming human correlated occasions. In this research paper, we firstly review the areas which could be calculated with existing social media platforms, then draw general idea about obtainable predictors and systems of prediction, and to end with discuss problems and probable potential research scopes.

Keywords


Social media, Sentiment analysis, Social network, prediction, influence analysis, Text mining

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DOI: https://doi.org/10.26483/ijarcs.v9i2.5778

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