NLP – Building your own chatbots using AI



Build an AI Chatbot using the concepts of Natural Language Processing

What you will learn

Fundamentals of chatbot design

Understanding the concepts of NLP

Implementation of Rule based chatbot

Implementation of NLP based self learning bot

Description

Welcome! Anyone interested in learning how to build their own chatbots using natural language processing (NLP) methods should take this course. The fundamentals of NLP and how chatbot creation uses it will be covered.

You will acquire practical experience during the course creating your own chatbot using well-known NLP libraries and frameworks like NLTK. You’ll discover how to use intents, entities, and action to train your model.

Additionally, you will discover the various varieties of chatbots, including rule-based, retrieval-based, and generative ones. You will also discover how chatbots are evaluated.


A chatbot is a computer program designed to simulate conversation with human users, especially over the Internet. They can be integrated into various platforms such as websites, mobile apps, messaging apps, and more. They are commonly used for customer service, providing information, or automating repetitive tasks.

Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans in natural language. It involves using techniques from computer science, artificial intelligence, and linguistics to process, analyze, and generate human language. NLP tasks include speech recognition, natural language understanding, sentiment analysis, text summarization, machine translation, and more. NLP techniques are used in many applications such as chatbots, virtual assistants, and language translation software.


These are the contents of this course

  • Fundamentals of Chatbots
  • Types of chatbots – Rule based, AI based
  • Fundamentals of NLP
  • NLP Techniques – Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine Similarity
  • Rule based chatbots – Implementation
  • NLP Wordnet – Implementation
  • NLP Incorporated chatbots – Implementation
  • Dynamic Web Surfing Chatbots – Implementation

Projects:

1. Building a rule based chatbot

2. Building an NLP based chatbot

3. Building a dynamic web surfing chatbot

English
language

Content

Introduction

Introduction
2. Basics of Chatbots and conversation

Concepts, Types and Modes of Chatbots

Info
3. Types of chatbots
4.Rule Based chatbots
5. Implementation – Rule Based chatbots
6. NLP Based chatbots
7. Different modes of chatbots

Concepts of Natural Language Processing and its Toolkit

8. Introduction to Natural Language Processing
9. Breaking down NLP Terms
10. Introduction to nltk
11. Working with nltk wordnet
12.Applications of Natural Language Processing

Steps in developing a NLP based Chatbot

13. Steps in building a NLP Chatbot
14. Data Preprocessing steps in NLP – I
15. Stemming and Lemmatization – II
16. The TF-IDF Vectorizer
17. Solving TF-IDF for an example
18. The Cosine Similarity

Project – Implementation of an NLP based Chatbot

19. Implementation – Tokenization
20. Implementation – Lemmatization
21. Implementation – Greeting
22. Implementation – Generating response
23. Bot in Action!

Dynamic API + NLP Bots!

24. Dynamic web surfing bot
Bonus Lecture

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