إنشاء حساب
الرئيسية
الكورسات
Launch a new career
Natural Language Processing (NLP) Full Course | TecHno RayZ
Lecture 38# Architecture of Search Engine | Part-2 | Natural Language Processing(NLP)

Lecture 38# Architecture of Search Engine | Part-2 | Natural Language Processing(NLP)

Natural Language Processing (NLP) Full Course | TecHno RayZ

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
86 درس
17:14 Lecture 1# Introduction to Natural Language Processing | NLP
13:15 Lecture 2# Types of Ambiguity | Natural Language Processing(NLP)
09:16 Lecture 3# Phases of NLP | Natural Language Processing(NLP)
23:23 Lecture 4# Applications of NLP | Natural Language Processing(NLP)
12:18 Lecture 5# Challenges in NLP | Natural Language Processing(NLP)
13:27 Lecture 6# NLP Pipeline part-1| Natural Language Processing(NLP)
15:32 Lecture 7# NLP Pipeline Part-2 | Natural Language Processing(NLP)
16:59 Lecture 8# N-gram Language Model Part-1| Introduction | Natural Language Processing(NLP)
20:22 Lecture 9# N-Gram Language Model Part-2 | Examples | Natural Language Processing(NLP)
17:46 Lecture 10# Hidden Markov Model(HMM) | Introduction |Natural Language Processing(NLP)
26:47 Lecture 11# POS Tagging with Hidden Markov Model (HMM) | Natural Language Processing(NLP)
14:43 Lecture 12# NLP | Phrasal Structures | Categories of phrases | Natural Language Processing(NLP)
20:27 Lecture 13# Parsing in NLP with Examples | Natural Language Processing(NLP)
18:15 Lecture 14# Shallow Parsing | Natural Language Processing(NLP)
10:00 Lecture 15# Deep Parsing | Syntactic Ambiguity | Natural Language Processing(NLP)
18:24 Lecture 16# Techniques in Parsing | Top Down Parsing | Natural Language Processing(NLP)
09:55 Lecture 17# Techniques in Parsing | Bottom Up Parsing | Natural Language Processing(NLP)
14:08 Lecture 18# Recursive Descent Parser with Example | Natural Language Processing(NLP)
17:33 Lecture 19# Shift Reduce Parser with Example | Natural Language Processing(NLP)
11:55 Lecture 20 # Constituency Parsing | Natural Language Processing(NLP)
18:50 Lecture 21# Dependency Parser | NLP
11:40 Lecture 22# Introduction to Information Extraction | Natural Language Processing(NLP)
17:02 Lecture 23# Relation Extraction | Part-1 | Natural Language Processing(NLP)
12:59 Lecture 24# Relation Extraction | Part 2 | Natural Language Processing(NLP)
13:21 Lecture 25# Text Classification | Natural Language Processing(NLP)
12:59 Lecture 26# Machine Translation | Natural Language Processing(NLP)
12:10 Lecture 27# Probabilistic based parsing | Probabilistic Context Free Grammar(PCFG's) | NLP
21:55 Lecture 28 # RegEx Parser | NLP
10:47 Lecture 29# Introduction to ML | Natural Language Processing(NLP)
24:22 Lecture 30# Types of Learning | Natural Language Processing(NLP)
19:34 Lecture 31# Naive Bayes Classifier with Example | ML
14:20 Lecture 32# SVM Classifier with Example | ML
26:28 Lecture 33# Decision Tree using ID3 Algorithm | ML
08:18 Lecture 34# Architecture of Web Crawler
07:28 Lecture 35# Search vs Information Retrieval (IR) | NLP
16:35 Lecture 36# Issues in Information Retrieval (IR) and Search Engines|Natural Language Processing(NLP)
15:46 Lecture 37# Architecture of Search Engine | Part-1 | Natural Language Processing(NLP)
14:56 Lecture 38# Architecture of Search Engine | Part-2 | Natural Language Processing(NLP)
14:32 Lecture 39# Introduction to Scrapy | Components | Data flow in Scrapy | NLP
13:08 Lecture 40# Create your own web crawler | NLP
09:32 Lecture 41# Geo Visualization | Natural Language Processing(NLP)
17:16 Lecture 42# Sentiment Analysis | NLP
10:51 Lecture 43# Challenges in Sentiment Analysis | NLP
04:26 Lecture 44# Applications of Sentiment Analysis | NLP
12:07 Lecture 45# Text Summarization | NLP
05:54 Lecture 46# Text Summarization | Part-2
14:56 Lecture 47# Text Summarization | Implementation | NLP
06:05 Lecture 48# Question Answering Systems | Introduction | Types of Questions | NLP
06:52 Lecture 49# Framework of Question Answering Systems(QAS) | Challenges of QAS | NLP
07:13 Lecture 50# Types of Question Answering Systems | NLP
04:47 Lecture 1# Introduction to Natural Language Processing | NLP
13:55 Lecture 2# Types of Ambiguity | Natural Language Processing(NLP)
02:35 Lecture 3# Phases of NLP | Natural Language Processing(NLP)
08:57 Lecture 4# Applications of NLP | Natural Language Processing(NLP)
08:30 Lecture 5# Challenges in NLP | Natural Language Processing(NLP)
10:59 Lecture 6# NLP Pipeline part-1| Natural Language Processing(NLP)
13:53 Lecture 7# NLP Pipeline Part-2 | Natural Language Processing(NLP)
20:00 Lecture 8# N-gram Language Model Part-1| Introduction | Natural Language Processing(NLP)
08:15 Lecture 9# N-Gram Language Model Part-2 | Examples | Natural Language Processing(NLP)
06:57 Lecture 10# Hidden Markov Model(HMM) | Introduction |Natural Language Processing(NLP)
08:57 Lecture 11# POS Tagging with Hidden Markov Model (HMM) | Natural Language Processing(NLP)
08:14 Lecture 12# NLP | Phrasal Structures | Categories of phrases | Natural Language Processing(NLP)
08:15 Lecture 13# Parsing in NLP with Examples | Natural Language Processing(NLP)
09:11 Lecture 14# Shallow Parsing | Natural Language Processing(NLP)
07:55 Lecture 15# Deep Parsing | Syntactic Ambiguity | Natural Language Processing(NLP)
16:15 Lecture 16# Techniques in Parsing | Top Down Parsing | Natural Language Processing(NLP)
16:11 Lecture 17# Techniques in Parsing | Bottom Up Parsing | Natural Language Processing(NLP)
06:43 Lecture 18# Recursive Descent Parser with Example | Natural Language Processing(NLP)
08:37 Lecture 19# Shift Reduce Parser with Example | Natural Language Processing(NLP)
14:24 Lecture 20 # Constituency Parsing | Natural Language Processing(NLP)
13:34 Lecture 21# Dependency Parser | NLP
18:41 Lecture 22# Introduction to Information Extraction | Natural Language Processing(NLP)
20:10 Lecture 23# Relation Extraction | Part-1 | Natural Language Processing(NLP)
23:01 Lecture 24# Relation Extraction | Part 2 | Natural Language Processing(NLP)
19:08 Lecture 25# Text Classification | Natural Language Processing(NLP)
15:24 Lecture 26# Machine Translation | Natural Language Processing(NLP)
09:36 Lecture 27# Probabilistic based parsing | Probabilistic Context Free Grammar(PCFG's) | NLP
10:08 Lecture 28 # RegEx Parser | NLP
14:33 Lecture 29# Introduction to ML | Natural Language Processing(NLP)
09:32 Lecture 30# Types of Learning | Natural Language Processing(NLP)
08:49 Lecture 31# Naive Bayes Classifier with Example | ML
13:50 Lecture 32# SVM Classifier with Example | ML
10:20 Lecture 33# Decision Tree using ID3 Algorithm | ML
16:33 Lecture 34# Architecture of Web Crawler
10:25 Lecture 35# Search vs Information Retrieval (IR) | NLP
14:56 Lecture 36# Issues in Information Retrieval (IR) and Search Engines|Natural Language Processing(NLP)