Practical-NLP-2022

In this repository you can find the lessons of the Practical NLP course.

To view the tutorials, you can download the pythonbook or access them via Google Colaboratory Tutorial.

Lesson 0 - Introduction to ML.
Lesson 1 - Introduction to google colaboratory, An example of unsupervised sentimnet analysis of financial news.
Lesson 2 - Text classification using Part-of-speech tagging.
Lesson 3 - Text classification2.
Lesson 4 - Inter annotator agreement
Lesson 5 - Natural Language Toolkit & WordNet
Lesson 6 - Bayesian Classification for Machine Learning for Computational Linguistics
Lesson 7 - Named-entity recognition, POS Tagging and text classification tasks
Lesson 8 - Word Embedding
Lesson 9 - Transformers, Attention and Self-Attention
Lesson 10 - KERMIT

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Practical_NLP_lesson9_2023.ipynb		Practical_NLP_lesson9_2023.ipynb
README.md		README.md

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