SENTIMENT ANALYSIS IN TWITTER USING ORANGE

Abstract

In this thesis the fundamentals of Natural Language Processing (NLP) will be presented. All the methods that I have tested are performed in a platform called Orange which is going to be explained throughout the thesis. The main focus of the thesis is analyzing the semantic meaning of a large dataset of tweets. This dataset will be about tweets regarding a luxury brand named “Balenciaga”. Anyway, until the reach of our final goal there are a vast number of other methods that provide data/text analytics of the tweets that our dataset contains. Each step that I have followed will be illustrated and explained in the thesis. At the end I have had some results and conclusions.