Sentimental Analysis for Social Media Topic Analysis Using Multi-tweet Sequential Summarization

The rising of online media has delivered gigantic interest among Internet customers today. Data from these long reach relational correspondence regions can be used for different purposes, like assumption, promoting or assessment examination. Twitter is a comprehensively used online media site page for posting comments through short circumstances with. The enormous quantities of tweets got every year could be presented to notion examination. Nevertheless, managing an especially huge proportion of unorganized data is a dull work to take up. The analytics tools and models currently available on the market are not satisfactory for managing huge amounts of data. Therefore, we have used Hadoop for intelligent evaluation and bounding of huge data. In this proposed work, we have performed an evaluation of user feedback in a Hadoop environment.