Section 3: Basics of Natural Language Processing

1) Tokenization

https://colab.research.google.com/drive/1o5vwcA5Z78dRjO8YU7XpoZI3oHmZizfC

2) Stemming & Lemmatization

https://colab.research.google.com/drive/1kppO0npVqBngzoGrl58d3KXuayx-luRs

3) Stop Words

https://colab.research.google.com/drive/12BrRBGNKVXW71JLZuqZ8NbY85DT1DtJh

4) Vocabulary and Matching

https://colab.research.google.com/drive/1d24zMdfku5U8e8v7AVLXBm2m6lb_7017

5) Parts of Speech Tagging

https://colab.research.google.com/drive/1SuOXz0jkvSYVFaZmPtZWmA74hc_Fx-Ce

6) Named Entity Recognition

https://colab.research.google.com/drive/1Mx3Z1KF8ADvh1egIcsmWw4q-skF06-dn

7) Sentence Segmentation

https://colab.research.google.com/drive/1DSqxEwBgunBTYi6V3lla2jGcmW0nXunh

Section 4: Spam Message Classification

https://colab.research.google.com/drive/1Mb7Cb4NoY_gF1nmB6Iu1-gFqINomqC2f

Section 5: Restaurant Review Prediction (Good or bad)

https://colab.research.google.com/drive/1qjHA_w7Ub-N_lIwSOIaYyScgaIyYKS3C

Section 6: IMDB, Amazon and Yelp review Classification

https://colab.research.google.com/drive/15nmPlpDYaiXEbQwis8wfWeUWi-Ifi83v

Section 7: Automated Text Summarization

https://colab.research.google.com/drive/1zhneu80nw3NlPipzyvS_V-bNUUOWt1EH

Section 8: Twitter sentiment Analysis

https://colab.research.google.com/drive/1M0v7E04O9DHDbEXDjixGNSZ0opx8hclF

Section 10: Word Embeddings

1) Train the model for Embeddings

https://colab.research.google.com/drive/1Duaz4vlDfxQKb10aH6fjfVdfDSGKxib_

2) Use pretrained model for Embeddings

https://colab.research.google.com/drive/13Hbl1m_cdox0M540Ros_c6Y0mXqjcvcx

Section 11: Text Classification with CNN

https://colab.research.google.com/drive/1N0BluMrXb_LhHv-nhqLmJId2MXg4nM8i

Section 12: Text Classification with RNN

https://colab.research.google.com/drive/1uUzVR8cnQEkFU6zFUSSjLj5-8QN8hGzX

Section 13: Automatic Text Generation using TensorFlow, Keras and LSTM

https://colab.research.google.com/drive/1gO9e0i5i1k6hQu_-OzN0D71WGZSLCEad#scrollTo=umBDyxFr18K7

Section 14: Data Analysis with Numpy

https://colab.research.google.com/drive/19gdFCeOrwoOFcyOdC0aINPMW9b8NKZoX

Section 15: Data Analysis with Pandas

Colab Part 1:

https://colab.research.google.com/drive/1U1kumO6AYGNjq-067WHyXRFfy1tz-N3D

Colab Part 2:

https://colab.research.google.com/drive/13IpO-Yc-qo4bSHDI3oRRTGYDIufgON30

Section 16: Data Visualization with Matplotlib

https://colab.research.google.com/drive/1eCNbA7UtMEu6HBn6ToN3zbiUDkUsilPA

Section 17: Appendix

1) Working with Text Files in Python

https://colab.research.google.com/drive/1Rl6nKqGBJWEnVS0jei9Cp54_7XjoWQYM

2) Working with PDF files in Python

https://colab.research.google.com/drive/1DRil9vWf4CxmU0-RQGkO0UHPi_zDwLIZ