Mine and Lattice Web Data using NLP

Abstract

This Paper will be an exercise in net extraction, natural language processing (NLP), and named entity recognition (NER). For the NLP, we will primarily be using the open-supply Python libraries NLTK and Spacy. This paper is meant to be a demonstration of a use-case for net extraction and NLP, now no longer a complete novice educational to the use of both techniques. We extricated joins from a web page, at that point utilized those joins to extricate indeed more substance from the internet location. We utilized that substance to at that point extricate and upgrade that data utilizing outside APIs, ML clustering calculations, and NLP.