Nlp - Building Your Own Chatbots Using Ai

Build an AI Chatbot using the concepts of Natural Language Processing

What you'll learn

Fundamentals of chatbot design

Understanding the concepts of NLP

Implementation of Rule based chatbot

Implementation of NLP based self learning bot

Requirements

No, but a little knowledge in Python would help

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 courseFundamentals of ChatbotsTypes of chatbots - Rule based, AI basedFundamentals of NLPNLP Techniques - Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine SimilarityRule based chatbots – ImplementationNLP Wordnet – ImplementationNLP Incorporated chatbots – ImplementationDynamic Web Surfing Chatbots – ImplementationProjects:1. Building a rule based chatbot2. Building an NLP based chatbot3. Building a dynamic web surfing chatbot

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 2. Basics of Chatbots and conversation

Section 2: Concepts, Types and Modes of Chatbots

Lecture 3 Info

Lecture 4 3. Types of chatbots

Lecture 5 4.Rule Based chatbots

Lecture 6 5. Implementation - Rule Based chatbots

Lecture 7 6. NLP Based chatbots

Lecture 8 7. Different modes of chatbots

Section 3: Concepts of Natural Language Processing and its Toolkit

Lecture 9 8. Introduction to Natural Language Processing

Lecture 10 9. Breaking down NLP Terms

Lecture 11 10. Introduction to nltk

Lecture 12 11. Working with nltk wordnet

Lecture 13 12.Applications of Natural Language Processing

Section 4: Steps in developing a NLP based Chatbot

Lecture 14 13. Steps in building a NLP Chatbot

Lecture 15 14. Data Preprocessing steps in NLP - I

Lecture 16 15. Stemming and Lemmatization - II

Lecture 17 16. The TF-IDF Vectorizer

Lecture 18 17. Solving TF-IDF for an example

Lecture 19 18. The Cosine Similarity

Section 5: Project - Implementation of an NLP based Chatbot

Lecture 20 19. Implementation - Tokenization

Lecture 21 20. Implementation - Lemmatization

Lecture 22 21. Implementation - Greeting

Lecture 23 22. Implementation - Generating response

Lecture 24 23. Bot in Action!

Section 6: Dynamic API + NLP Bots!

Lecture 25 24. Dynamic web surfing bot

Lecture 26 Bonus Lecture

Anyone who wants to build his/her own chatbot