I made this cuorse of NLP and Machine Learning to dictate at ITM.

• Natural Language Toolkit NLTK
• Machine Learning in Python Scikit-Learn

1. • Introduction to Python and intermediate Python.
2. • Introduction to text mining.
3. • Text processing.
4. • Text characterization.
5. • Build dataset - Unstructured Data to Structure Data.
6. • Regression logistics
7. • Wordembeddings: One Hot encoding, Word2Vec.
8. • Building text classification model with Machine Learning.

You will know about basic python programming like variable types, loops and basic operations.

You will learn to process text with the NLTK library and string operations.

Basic example of how to do text mining, from text extracted from an html page.

Dataframe manipulation, relevant data extraction and characterization.

You will know the handling of the twitter api and learn data structuring from a json file.

Logistic regressor for analysis of sentiments in tweets.

Vectorization of text with Wordembeddings.

Construction of a classifier from machine learning techniques.