Hello, I am the module leader for the Natural Language Processing module, that is part of the MSc Artificial Intelligence course. I will be delivering the module’s lectures and labs. This page shows the tentative schedule for the module.
The module is based two books:
“Introduction to Data Mining” Second Edition by Tan, Steinbach, Karpatne and Kumar.
“Introduction to Information Retrieval” by Manning, Raghavan, and Schutze.
| Day | Topics |
| 1 | Natural Language Processing in Python |
| 2 | Tokenisation, Stemming, Lemmatization, Stop Words, Vocabulary (spaCy) |
| 3 | Part of Speech Tagging and Named Entity Recognition (Spacy) |
| 4 | Text feature selection, extraction and classification (Text Classification) |
| 5 | Similarity, Distance, Clustering and Topic Modelling (LDA and non-negative matrix factorisation) |
| 6 | Information Retrieval and the Vector Space Model |
| 7 | Latex Semantic Indexing |
| 8 | NLP with Deep Learning (Text Generation with LSTMs) |
| 9 | Part of Speech Tagging and Named Entity Recognition |
| 10 | NLP with Deep Learning (BERT, spaCy, etc) |
Module Delivery
- Recommended text books: Introduction to Data Mining and 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
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