Natural language processing Chatbot application using NLTK for text classification

Natural language processing Chatbot application using NLTK for text classification

In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

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SUBHABRATA BISWAS

Lead Consultant, ITC Infotech

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What will you learn

Introduction to Natural Language Processing with python
Importance of NLP applications
Introduction to NLTK text classification
Preprocessing textual data
Nlp text classification - Tokenization
Nlp text classification - Removing Stopwords
Nlp text classification - PoS (Part of Speech) Tagging
Nlp text classification - Lemmatization
Nlp text classification - Stemming
Create generic function to preprocess textual data using all techniques learnt
Bag of Words
Nlp chatbot application - understanding the data
Parsing a document
Preparing data for machine learning text classification models
Decision tree classifier
Naive Bayes Classifier
Creating a nlp chatbot engine function which can be called by any UI

Project Description

Human language is astoundingly complex and diverse. When we write, we often misspell or abbreviate words, or omit punctuation. There is a lot of unstructured data around us. Natural language processing helps computers communicate with humans in their own language and scales other language-related tasks. NLP makes it possible for computers to read text, interpret it, measure sentiment and determine which parts are important.

Understanding this will enable you to build the core component of any conversational chatbot. In this NLP application we will create the core engine of a chat bot. We will learn text classification using the techniques of natural language processing by using the nltk library.

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Curriculum For This Mini Project

Introduction and importance of NLP
06m
Importance Of Natural Language Processing In todays world
03m
Introduction To Nltk For Text Classification
08m
Data Preprocessing
04m
Nltk Text Classification - Tokenization
04m
Nltk Text Classification - Stopwords
05m
Nltk Text Classification - Tagging
06m
Nltk Text Classification - Lemmatization
02m
Nltk Text Classification - Stemming
03m
Threading together all the preprocessing
05m
Bag Of Words
02m
Nlp Chatbot Engine - Understanding The Data
07m
Preparing Data For Machine Learning Text Classification Models
07m
Splitting The Dataset
05m
Decision Tree Classifier
07m
Naive Bayes Classifier
04m
Creating A Nlp Chatbot Engine Function
06m