Preprocessing on Facebook data for sentiment analysis

Abstract

In the growing digital world, people use social media to communicate each other and to express their mindset. Facebook known as the most popular social media among the others. People express their life events, day to day life, and knowledge that they have, their feelings, past, present, future and so on. Our aim is to suggest a suitable career path based on what they are sharing in the public facebook profiles. The main objective of this paper is to retrieve and pre-process the facebook data from a unique facebook profile. 200 facebook profiles were used for this survey. Most of the researches done preprocessing using the text that the facebook users shared. But in this paper especially we use spell correction and emoticon analysis. In most of the research papers uses some tools to pre-process the facebook or social media data. But I am translating and pre-processing from more than 70 languages with maximum possible accuracy. The final outcome of facebook data pre-processing will help for the better sentiment analysis.