Paper Title
An Automated Approach For Relation Extraction In Text Data Using Context Free Grammars

With the growing demand for text data mining in order to accomplish relation between multiple text entities in order to extract high level information, it is mandatory to frame an automated algorithm based on grammatical inferences. Todays’ business, social media and including education industry generates huge amount of data from multiple transactions inside and outside, educators and online teaching leaning operations and social connections like Facebook, Twitter and other. Hence a use of supervised learning methods should be an additional factor to infer context free grammar from the text that connects multiple termed entities. The approach focuses on generalization of grammar from the text using minimal descriptive length. The final results will demonstrate that the automated algorithm performs high precision generalization. Keywords — CFG, Text Mining, Relation Extraction, Comparative Analysis.