NLP Tutorial codelab

Overview

This this a codelab tutorial that covers a lot of natural language processing techniques and namely 4 real life examples and demos namely:

Text summarisation 
Topic Modelling
Sentiment analysis -ML
Sentiment Analysis -Deep Learning

The techniques demonstrated are

The NLTK toolkit
Pre Processing:-importing, tokenizing,stemming,lematizing and chunking
Wordnet
K-Means Clustering
Using LSTMS to classify

To run the demos just run any python file

Requirements

• Python 3.5
• TensorFlow 1.n
• SciPy & NumPy
• matplotlib 2.1.2
• nltk 3.2.4
• scikit-learn 0.18.2
• tweepy 3.5.0

NLTK Corpus

To download the entire NlTK Corpus you need to run the code below

import nltk
nltk.download()

License

Released under the GNU GENERAL PUBLIC LICENSE