Data Cleaning of Raw Tweets for Sentiment Analysis

Preparation of data prior to information retrieval is an important task to perform so as to gather accurate results efficiently. Preprocessing is an approach that helps to make data ready for mining algorithms. Aim of this research is to club all the techniques of cleaning for preprocessing of opinion bearing text in one single model. Besides, entire process of preprocessing for textual data is furnished in two steps for this work. First phase is of data collection and the second includes cleaning of data. Further, the paper endows insight of all the functionalities incorporated for cleaning process.