Natural Language Processing, Deploy on Cloud(AWS) [Hindi]

This course provides a basic understanding of NLP. Anyone can opt for this course. Prior understanding of Machine Learning is good to have. However, for those who don;t know Machine Learning, I have added sections for Machine Learning. Text Processing like Tokenization, Stop Words Removal, Stemming, different types of Vectorizers, WSD, etc are explained in detail with python code. Application of NLP like Spam Filter, Sentiment Analysis, Auto–Summarizing Article and Article Classification implemented in python.

Below Topics are covered 

Chapter – Introduction to Natural Language Processing (NLP)

– NLP?

– NLP applications

– Machine Learning – Steps

Chapter – Setup Environment

– Installing Anaconda, how to use Spyder and Jupiter Notebook

– Installing Libraries

Chapter – Creating Environment on cloud (AWS)

– Creating EC2, connecting to EC2

– Installing libraries, transferring files to EC2 instance, executing python scripts

Chapter –  Data Analysis and Data Cleaning

– Drawing various kinds of graph to understand the trend

– Regular Expression for data cleaning

Chapter – Text Preprocessing

Below Text Preprocessing Techniques

– Tokenization, Stop Words Removal, N–Grams

– Stemming, Word Sense Disambiguation

Chapter – Text Preprocessing – Python Code

Below Text Preprocessing Techniques with Python code

– Tokenization, Stop Words Removal, N–Grams, Stemming, Word Sense Disambiguation