Natural Language Processing - Full Chapter | Class 10 Artificial Intelligence Chapter 6 | 2022-23
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✅ In this video,
✔️ Class: 10th
✔️ Subject: Artificial Intelligence
✔️ Chapter: Natural Language Processing (Chapter 6)
✔️ Topic Name: Natural Language Processing - Full Chapter Explanation | Class 10 Artificial Intelligence Chapter 6 | 2022-23
✔️ Topics Covered In This Video : This video by Vardan Sir will provide detailed explanation of chapter 6 Natural Language Processing. In this video, he will discuss and explain all the important concepts, and will also provide helpful tips on how to answer them during the exams. The video will help students to prepare for their upcoming board exams and score better in the examination.
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00:00 Introduction: Natural Language Processing
03:41 Overview
12:41 Recall
13:25 Introduction
14:23 Natural Language
31:00 Advantage of NLP
32:56 Disadvantage of NLP
36:21 Sentiment Analysis
42:57 Machine Translation:
46:52 Text Extraction
48:19 Text Classification
51:12 Speech Recognition
54:31 Chatbot & Virtual or Smart Assistants
58:15 Text or Automatic Summarisation
01:01:50 Email Filter
01:09:06 Predictive Text
01:12:55 Categories of NLP
01:34:34 Phonological Analysis
01:36:27 Morphological Analysis
01:39:23 Lexical Analysis
01:41:01 Syntactic Analysis
01:43:59 Semantic Analysis
01:46:17 Discourse Integration
01:48:30 Pragmatic Analysis
01:53:14 Recall
01:56:31 The Scenario
02:00:54 Problem Scoping
02:02:05 4Ws Problem Canvas
02:02:51 Who Canvas - Who has the problem?
02:04:31 Where Canvas - Where does the problem arise?
02:05:36 Why Canvas - Why do you think it is a problem worth solving?
02:07:25 Problem Statement Template
02:08:21 Goal
02:10:44 Data Acquisition
02:14:11 Modelling
02:18:09 Evaluation
02:21:35 Underfitting
02:27:34 Perfect Fitting
02:28:36 Overfitting
02:34:28 Chatbots
02:40:39 Working of Chatbots
02:43:03 Example of Chatbots
02:58:28 Types of Chatbots
03:00:36 Rule Based or Script Bot
03:06:56 Advantages & Disadvantages of Rule Based or Script Bot
03:10:18 Al-Based Smart Bot
03:18:31 Difference Between Rule Based or Script Bot vs Al-Based Smart Bot
03:21:19 languages3:23:51 Differences
03:23:51 Humans
03:27:47 Computers
03:33:16 Arrangement of Words and Meaning
03:37:28 Part of Speech
03:39:05 The Structure of Language
03:39:55 The Five Main Components of Structure of Language
03:45:20 Programming Language Analogy
03:49:56 Examples
03:54:07 Conclusion
03:55:28 Perfect syntax, No meaning
04:01:37 Data Processing
04:05:28 Text Normalization
04:10:00 Sentence Segmentation
04:17:43 Word Segmentation/Tokenization
04:24:01 Removing Stop Words, Special Characters and Numbers
04:31:56 Text Lemmatization and Stemming
04:33:29 Stemming
04:38:03 Lemmatization
04:43:05 Converting Text to a Common Case
04:46:57 Features Extraction from Text
04:49:11 Bag of Word
04:53:21 Step by step approach
05:03:17 Step 1- Text Normalization
05:04:33 Step 2 - Create Dictionary
05:04:53 Step 3 - Create Documents vectors
05:07:13 Step 4 - Create Document Vectors for All the Documents
05:10:18 TF - IDF
05:22:12 Term Frequency
05:25:26 Inverse Document Frequency
05:34:11 Application of TF - IDF
05:38:25 Documents
05:44:40 Text Normalization
05:55:24 NLTK
05:57:38 Website Overview
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