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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Hiren Ahir

Microsoft Azure SQL Sever Developer, BI Developer

I'm a Graduate student and came into the job market and found a university degree wasn't sufficient to get a good paying job. I aimed at hottest technology in the market Big Data but the word BigData... Read More

Arvind Sodhi

VP - Data Architect, CDO at Deutsche Bank

I have extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... Read More

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