TEXT CLASSIFICATION AND PREDICTION USING DEEP LEARNING TECHNIQUES

Abstract

To design a dataset, the related domain knowledge plays a vital role. This domain knowledge is formed by the researchers with the help of online information. This research work explains database construction using sqlite database and also predict fault data already available or not in that database based on spelling using Python API. This study further helps in the creation of classified faults.