NLP Data Cleaning techniques|text Data cleaning techniques|How to clean text data

[@mujeebrahman5282]

Wow, bro. As I was impressed with your explanation in the previous video this one didn't disappoint me either. I am glad to have known advanced preprocessing techniques through you.

[@UnfoldDataScience]

Thanks Mujeeb. Happy learning :)

[@GopiKumar-ny3xx]

Useful information...

[@UnfoldDataScience]

Thanks for your feedback.

[@preranatiwary7690]

Waiting for python code for these steps. Thanks a ton.

[@UnfoldDataScience]

Will be uploading next one with python code. Thanks for watching.

[@farhadkhan3893]

Very good, I got it better, love from Pakistan

[@chandrasekaranramachandran8766]

Very useful playlist. Thank you so much for your effort on sharing the knowledge.

[@UnfoldDataScience]

So nice of you Chandra. your comments are my motivation.

[@DS_AIML]

Impressive Explanation Aman.

[@UnfoldDataScience]

Thanks Anjani. Happy Learning. Tc

[@sandipansarkar9211]

finished watching

[@themynamesb]

nice work

[@UnfoldDataScience]

Thanks Saurabh.

[@prernasrivastava2839]

Please show the implementation of advanced steps through coding ,, video was concise and well explained.

[@UnfoldDataScience]

Thanks Prerna, Surely will go in advance topics slowly.

[@abhijeetjha1592]

great explanation man . just show all these techniques in separate videos with implementation

[@UnfoldDataScience]

Thanks Abhijet, Video is already there in same playlist. Pls check once:
ua-cam.com/video/cs049uQWbpg/v-deo.html

[@dilankaygisiz6356]

Thank you thank you thank you!!!!!

[@UnfoldDataScience]

You are so welcome!

[@DS_AIML]

Please try to complete NLP vedios list. I am eagerly waiting for same.

[@UnfoldDataScience]

Hi Anjani, Yes more videos on the way :)

[@palpali69]

Hi again Aman - do you or can you please upload some tutorial related to end to end project in ML, DL and NLP (close to real will be better instead from kaggle) ? In this period i want to complete as many project as possible. :) thanks in advance

[@UnfoldDataScience]

Sure. Will note it down.

[@ruman2494]

Basic:
1. Removing punctuation like !,#
2. Convert to lower case
3. Removing stopwords as does not have much value
4. Removing nonsocial word like new line
5. Tokenization of the text
6. lemmatization and Stemming but it's completely depends on use case. Stemming is like stem or root of the word.
Advance:
1. Normalization - like b4 - to English word before. There are libraries that we can use to do this normalization
2. Correcting typos - Not easy to implement.
6.

[@UnfoldDataScience]

awesome.