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.
