Natural Language Processing Tutorial Part-2 | PyCSR | Learn Python Online with Pankaj Soni

In this tutorial you are going to learn followings:
- Using regular expression for text data cleaning
- Adding more regular expression pattern and fine tune text data cleaning
- What are Stop words and how to use them to remove them from Original text
- What is frequency distribution and how to plot them
- Impact on frequency plot after removing stop words

In this video you are going to learn followings:
1. NLTK Introduction
2. About NLTK library
3. NLTK library installation
4. Some vocabulary for NLP
5. NLTK version
6. Supported methods
7. How to download nltk corpus data
8. Sample Text
9. Things to take care before text processing
10. Making uniform cases
11. Text cleaning (Removing un-wanted characters)
12. PART-2
13. What is Word Tokenizer
14. Ways to do word tokenization
15. What is Frequency distribution of each word
16. Plot Frequency distribution
17. Before:
18. After:
19. Part-3
20. What is Sentence Tokenizer
21. Ways to do sentence tokenization
22. What are Stop Words
23. What is Frequency distribution of each word
24. Plot Frequency distribution
25. How to remove stop words
26. Now Plot actual words after filtering/removing stop_words
27. Stemming
28. Lemmatization
29. POS (Part of Speech tagging)
30. Get the PC path of Copora
31. Chunking
32. Chinking
33. Named entity recognition
34. NLTK Corpora
35. WordNet
36. Filter Synonyms and Antonyms from Lemmas
37. Finding word similarity using wordnet

Connect with me here:

Below are the various playlist created on Basic Python, Advance Python,Numpy, Pandas,Matplotlib, Seaborn, NLP, NLTK, Spacy, DataScience Modules,Statistics. Please do subscribe and support my channel. I'll stay motivated.
""Happy Learning''!!!

🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO FOLLOWING 3 THINGS to support my channel
- LIKE
- SHARE
- SUBSCRIBE

TO MY YOUTUBE CHANNEL