An Approach towards Analysis of Microblogging with Twitter for Evaluating the Branding Trends

In this project we report study results investigating tweets from various tweeter account holder as a micro-blogging their thoughts and ideas as a form of electronic word-of-mouth for distributing consumer sentiments concerning products. We investigated some micro-blog postings containing labeling comments, sentiments, and opinions. We examined the overall structure of these tweets the types of expressions, and the movement in positive or negative sentiment. We equated automated methods of classifying sentiment in these tweets with manual coding. By this approach we analyzed the range, frequency, timing, and content of tweets In examining tweets for structure and arrangement, the linguistic structure of tweets approximate the linguistic patterns of natural language expressions. We find that twitter is an online tool for customer word of mouth communications and discuss the implications for corporations using micro-blogging as part of their overall marketing strategy.