System and method to analyse and predict impact of textual data

A system to analyze and predict impact of textual data comprising:

• a memory configured to store a plurality of data sets acquired from one or more sources;
• a processing subsystem operatively coupled to the memory, and configured to:
• select textual data from the plurality of data sets;
• extract data from one or more external sources through web crawling;
• identify at least one context of the textual data using one or more context identification methods,
• wherein the processing subsystem comprises:
• a natural language processing (NLP) module configured to:
• match the textual data with at least one natural language processing (NLP) framework from a plurality of frameworks obtained from the one or more sources using a mapping method based on a plurality of parameters;
• apply feature engineering and transformation on the textual data to extract a plurality of features from the plurality of data sets;
• analyze matched textual data using at least one analysis method, wherein the at least one analysis method comprises at least one of a part of speech (POS) tagging, a sentiment method, a topic modelling, a clustering method and a document classification method;
• store an analyzed result of the textual data in the memory;
• a predictive module operatively coupled to the natural language processing (NLP) module, and configured to:
• obtain the analyzed result of the textual data from the memory;
• and
• predict one or more future values of the analyzed textual data using one or more predictive methods based on the analyzed result.