Administrative information

Title	Natural Language Processing
Duration	60-70 mins
Module	A
Lesson Type	Practical
Focus	Practical - AI Modelling
Topic	Text Classifaction, Sentiment Classification

Keywords

Natural Language Processing,Naive Bayes Classifier,

Learning Goals

Student will understand the basics of the core NLP techniques
Student gets familiar with the use of a Naive Bayes Classifier

Expected Preparation

Learning Events to be Completed Before

None.

Obligatory for Students

Basic Python Programming
Basic Statistics

Optional for Students

Natural Language Toolkit

References and background for students:

Natural Language Toolkit
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008
Jurafskly D., Martin J. H. - An Introduction to NLP, Computational Linguistics, and Speech Recognition

Recommended for Teachers

Natural Language Toolkit
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008
Jurafskly D., Martin J. H. - An Introduction to NLP, Computational Linguistics, and Speech Recognition

Lesson Materials

Slides for the practical session

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

This learning event consist of laboratory tasks that shall be solved by the students with the help of the leading instructor.

Outline

Time schedule
Duration (Min)	Description	Concepts	Activity	Material
5	Word Tokenisation
5-10	Pandas DataFrames
10	Bag of Words
10	Tokenisation with a Regular Expression
10	N-gram Models
5	Stopwords
10-15	Normalisation, Stemming and Lemmatisation
5-10	Sentiment Analysis

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities