Natural Language Processing (NLP) & Text Mining Tutorial | Machine Learning Tutorial | Simplilearn

preview_player
Показать описание

The Natural Language Processing video gives you a detailed look at the science of applying machine learning algorithms to process large amounts of natural language data. NLP is driving the growth of the AI market, and this video helps you develop the skills required to get started with NLP & text mining. Now, lets get started and understand NLP in detail.

Below topics are explained in this NLP & text mining tutorial:
0:00 Introduction
1. Learning Objectives : 00:14
2. Overview of Text Mining : 00:22
3. Significance of Text Mining : 02:33
4. Applications of Text Mining : 04:00
5. Natural Language ToolKit Library : 06:22
6. Text Extraction and Preprocessing: Tokenization : 08:57
7. Text Extraction and Preprocessing: N-grams : 09:31
8. Text Extraction and Preprocessing: Stop Word Removal : 10:27
9. Text Extraction and Preprocessing: Stemming :11:51
10. Text Extraction and Preprocessing: Lemmatization : 12:35
11. Text Extraction and Preprocessing: POS Tagging : 13:11
12. Text Extraction and Preprocessing: Named Entity Recognition : 14:28
13. NLP Process Workflow : 15:23
14. Demo: Processing Brown Corpus : 16:17
15. Structuring Sentences: Syntax : 26:21
16. Rendering Syntax Trees : 28:16
17. Structuring Sentences: Chunking and Chunk Parsing : 29:10
18. NP and VP Chunk and Parser : 30:48
19. Structuring Sentences: Chinking : 32:28
20. Context-Free Grammar (CFG) : 34:12
21. Demo: Structuring Sentences : 36:09

#NaturalLanguageProcessing #NLPTutorialForBeginners #TextMiningTutorial #TextMiningInMachineLearning #MahchineLearningTutorial #Simplilearn

➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

Рекомендации по теме
Комментарии
Автор

You couldn't get more comprehensive than that in 45 minutes! Awesome work, guys 👍

thomasedwardking
Автор

best content on youtube for natural language processing. clears all my doubts

mohitraj
Автор

Its an outstanding lecture, cover almost every bit of concept of NLP with practical example as well. I will say its all about from Zero to Hero in NLP. Thankyou Sir for sharing such a great lecture.

muhammadumair
Автор

Thanxalott ! you guys are ways better than my college !

rajatgupta
Автор

I don't know why, but i am having a problem with the brown_corpus_ca10.txt file, is it a pre-installed dataset or u have to get it somewhere .

richardmulenga
Автор

Hello, do you have a tutorial about NLP (such as sentiment analysis? using CNN method in python?

KomangWahyuTrisna
Автор

Sir I have a problem due to mba ba student which course I have to opt NLP Vs Data mining.... Pls suggest it's urgent to me

deepamittal
Автор

Sir my name is mohith I am final year BE student can you help me out some doubt on nlp I am working on data generalization and data sanitization our task is identifying given text weather it is sanitized or not generalized or not how it work in python can you help out sir please.... it is helpfull to me

mohithshivu