I am the module leader for the Natural Language Processing module, that is part of the MSc Artificial Intelligence course. The module is focused on teaching information processing, retrieval, and summarisation using traditional and neural based approaches. The module first teachers the basics of vector space models and This page shows the schedule for the module.
Recommended book:
“Introduction to Information Retrieval” by Manning, Raghavan, and Schutze.
| Day | Topic |
| Day 1 | Introduction to the module and NLP basics |
| Day 2 | Bag of Words |
| Day 3-4 | NLP with Deep Learning and Word Embeddings |
| Day 5 | LSI for Information Retrieval |
| Day 6 | Evaluation Measures for information retrieval and ranking |
| Day 7 | Sentiment Analysis using BERT and other approaches and evaluation of classification based methods |
| Day 8-9 | Text Summarisation (extractive and abstractive) and evaluation metrics |
| Day 10 | Coursework |
Module Delivery
- Recommended text books: Introduction to Information Retrieval
- Slides: PPT slides will be available.
- Slides with recordings: Short versions of the slides with recordings for every lesson
- Labs: In Python.
- Weekly lab activities: In Python
- Live discussion sessions
The review and details of books I reviewed can be found here
A.I and Data Science+ 
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