Natural Language Processing with Python

Overview

Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

Objectives

At the end of Natural Language Processing with Python training course, participants will be able to

• Explain the basics of Natural Language Processing in the most popular Python Library: NLTK
• Adapt techniques to access or modify some of the most common file types
• Using I python notebooks, master the art of step by step text processing
• Gain insight into the ‘Roles’ played by an NLP Engineer
• Interpret Bag of Words Modelling and Tokenization of Text
• Utilize n-Gram Models to model and analyze the Bag of words from Corpus
• Interpret Latent Semantic Analysis and its usage in the processing of context-aware Semantic Content
• Work with real-time data
• Interpret Sentiment Analysis one of the most interesting applications of Natural Language Processing
• Gain expertise to handle business in the future, living the present

Prerequisites

• Working knowledge in Python
• Good Understanding of Machine Learning Concept

Course Outline

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