Sentiment Analysis of Facebook Data using Machine Learning

Abstract

    In this paper, I propose a model that will analyze the person's sentiment and emotion using social media. Face book, using machine learning and deep learning. Nowadays, most teenagers are depressed and stressed due to the overuse of social media and emotional breakdown. This project will help them to know their status and improve emotional stability. The numerous data floating around virtually can be taken as the context of data science and big data. In this paper, I will show how useful information can be mined out of those data sets. This paper aims to retrieve and pre-process social media data for sentiment analysis, which is a part of natural language processing. I will use several techniques of NLP for data pre-processing for better sentiment analysis. This paper essential requirement is to show the realization how individuals feel certain social media status, which will be utilized for classification.