1 Introduction

Kavita Ganesan & Hyun Duk Kim of University of Illinois @ Urbana Champaign defined the concept of Sentiment Analysis as falling under a broader topic called, Subjectivity Analysis. This latter also includes Review Mining, Opinion Mining, and Appraisal Extraction.

And according to Marie-Claire Jenkins, Science for SEO, software automatically extract opinions, emotions and sentiments in text. It allows us to track attitudes and feelings on the web. People write blog posts, comments, reviews and tweets about all sorts of different topics. We can track products, brands and people for example and determine whether they are viewed positively or negatively on the web.

This analysis utilize data obtained from Twitter. I have used some bayesian analysis algorithms from the library sentiment. In addition I have included graphs showing prevalent emotion and polarity distribution to show how is the current happenning in Venezuela.

The neat thing about this analysis is that it will always be up to date, as the extraction of the tweets -by running again the markdown document- will always be reflecting the current situation about presos politicos, and maduro (current socialist dictator in Venezuela).

I have made some changes in the 'spanish' nouns used in the analysis to avoid some biased predominantly in the category of ‘neutrality’ due to the use of the library sentiment which is english-based. I have changed them to use 'proper english' words.

CPQ Energy & Analytics

Emotion Analysis

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