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Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. After completing this NLP training in Python, you will be able to: 1.Learn basics of Natural Language Processing in the most popular Python Library: NLTK 2.Learn techniques to access or modify some of the most common file types 3.Using I python notebooks, master the art of step by step text processing 4.Gain insight into the 'Roles' played by an NLP Engineer 5.Learn about Bag of Words Modelling and Tokenization of Text. 6.Use n-Gram Models to model and analyze the Bag of words from Corpus 7.Learn about converting text to vector using word frequency count, tf-idf etc. 8.Learn about Latent Semantic Analysis and its usage in the processing of context-aware Semantic Content. 9.Work with real-time data 10.Learn in detail about Sentiment Analysis one of the most interesting applications of Natural Language Processing 11.Gain expertise to handle business in future, living the present.
Introduction to Text Mining and NLP, Extracting, Cleaning and Pre-processing Text, Analyzing Sentence Structure-Text Classification - I, Text Classification - II
