Milaan9 Python Natural Language Processing Save
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
Python_Natural_Language_Processing
This repository contains tutorials on important topics related to Natural Language Processing (NPL).
| No. | Name |
|---|---|
| 01 | 01_Tokenization_NLP |
| 02 | 02_Stemming_Lemmatization |
| 03 | 03_StopWords |
| 04 | 04_Vocabulary_and_Matching |
| 05 | 05_POS_Basics |
| 06 | 06_Named_Entity_Recognition |
| 07 | 07_Sentence_Segmentation |
| 08 | 08_Stemming |
| 09 | 09_BagofWords_N_Gram |
| 10 | 10_TF_IFD |
These are read-only versions. However you can Run βΆ all the codes online by clicking here β
020_Road_Detection
Frequently asked questions β
How can I thank you for writing and sharing this tutorial? π·
You can 
Go here if you aren't here already and click β β° Star and β΅ Fork button in the top right corner. You will be asked to create a GitHub account if you don't already have one.
How can I read this tutorial without an Internet connection? 
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Go
hereand click the big green βCodebutton in the top right of the page, then click βDownload ZIP.
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Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.
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Launch ipython notebook from the folder which contains the notebooks. Open each one of them
Kernel > Restart & Clear Output
This will clear all the outputs and now you can understand each statement and learn interactively.
If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.
Authors βοΈ
I'm Dr. Milaan Parmar and I have written this tutorial. If you think you can add/correct/edit and enhance this tutorial you are most welcomeπ
See github's contributors page for details.
If you have trouble with this tutorial please tell me about it by Create an issue on GitHub 
and I'll make this tutorial better. This is probably the best choice if you had trouble following the tutorial, and something in it should be explained better. You will be asked to create a GitHub account if you don't already have one.
If you like this tutorial, please give it a β star.
Licence π
You may use this tutorial freely at your own risk. See LICENSE.
Copyright (c) 2020 Dr. Milaan Parmar
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