Key points are not available for this paper at this time.
In recent years, analysis of opinions from social web has witnessed a boom merely because such a volume of opinions is difficult to obtain through any other normal means of collecting opinion like surveys, polls etc. The analysis is interesting but at the same time difficult because of the sheer volume of information that the social media generates on the internet and the range of opinions possible to be expressed. Twitter is one such social media where opinions expressed play a significant influence on the marketability of a product. Hence, an accurate method for predicting sentiments could enable us to understand customers' preferences, their views on the product and services offered by the companies. These have the potential to create positive or negative wave in the market. Hence, this information is valuable for both companies and consumers. Enterprises can leverage this information for formalizing their strategies. The main focus of this paper is to analyze the sentiments expressed on Hollywood movies on Twitter so that customers' opinions, habits and preferences are extracted, analyzed and used to understand the market behaviour for better customer experience.
Umesh R. Hodeghatta (Sun,) studied this question.