Python for Natural Language Processing (NLP)

Description

Welcome to the touchdown web page of Python for Natural Language Processing (NLP) course. This course is constructed for college students who need to be taught NLP ideas in Python. Course begins with the repeat of the Python Fundamentals. After it textual content strategies and pandas library is roofed within the course. Textual content strategies will likely be useful when we’re going to be constructing Natural Language Processing tasks. We are going to use pandas library for studying and analyzing our knowledge units. After it we’ll cowl some fatures of spaCy library like a part of speech tagging, tokenization and named entity recognition. spaCy with NLTK are the each hottest Python libraries for Natural Language Processing.  After protecting that ideas we’ll transfer into analysis of mannequin performances part and there we will likely be studying how the NLP fashions will likely be evaluated. After that activity we’ll see Sentiment Evaluation and Textual content Classification and we’ll make examples of them. On the remaining lectures of the course we’ll construct a Natural Language Processing undertaking from stratch with what we realized by the course and we’ll end. On the complete course course of and after it, college students can attain to me concerning the course ideas through Q&A bit of the course or direct messages on Udemy. Thanks for visiting course web page and studying course description.