README.md

Natural Language Processing Course

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

Libraries:

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

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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.

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Classes

Class 1:

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

Class 2:

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

Class 3:

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

Class 4:

Dataframe manipulation, relevant data extraction and characterization.

Class 5:

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

Class 6:

Logistic regressor for analysis of sentiments in tweets.

Class 7:

Vectorization of text with Wordembeddings.

Class 8:

Construction of a classifier from machine learning techniques.