A Novel Framework for Context-Smart Sentiment and Mindset Analysis

The enormous amount of opinionated data on the web lends itself open to the need of intelligent tools for analyzing and interpreting this huge amount of data. In this work we propose a novel framework that provides an approach for interpreting and categorizing opinions in a structured way. The framework classifies any annotated sentence-level opinion on the criteria of favor ability and mindset analysis. After employing our method we observe that the difference between favorable and unfavorable opinions expressed under intelligent mindset is far greater than the same expressed under emotional mindset.