Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/3012
Title: Preprocessing on Facebook data for sentiment analysis
Authors: Safeek, Ilham
Kalideen, Muhammad Rifthy
Keywords: Sentiment analysis
Lemmatization
Graph API
Facebook
NLP
Issue Date: 7-Dec-2017
Publisher: South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka
Citation: 7th International Symposium 2017 on “Multidisciplinary Research for Sustainable Development”. 7th - 8th December, 2017. South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka. pp. 69-78.
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.
URI: http://ir.lib.seu.ac.lk/handle/123456789/3012
ISBN: 978-955-627-120-1
Appears in Collections:7th International Symposium - 2017

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