Trend Analysis on Social Networking using Opinion Mining : A Survey
Saurin Dave, Hiteishi Diwanji · Zenodo (CERN European Organization for Nuclear Research) · 2015
The increasing popularity of social media in recent years has created new opportunities to study the interactions of different groups of people. Never before have so many data about such a large number of individuals been readily avail-able for analysis. Two popular topics in the study of social networks are community detection and finding trends. Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the computational treatment of opinions, sentiments and subjectivity of text. Trend Analysis also sometimes interchange the term with the "Sentiment Analysis" (SA). The related fields to Sentiment Analysis (transfer learning, emotion detection, and building resources) that attracted researchers recently are discussed. The main target of this survey is to give nearly full image of SA techniques and the related fields with brief details. The main contributions of this paper include the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the trend analysis and integration of community detection along with the sentiment analysis.