COM6115 Text Processing
| Summary |
This module introduces fundamental concepts and ideas in
natural language text processing, covers techniques for
handling text corpora, and examines representative systems
that require the automated processing of large volumes of
text. The module focuses on modern quantitative techniques
for text analysis and explores important models for
representing and acquiring information from texts. |
| Session |
Autumn 2024/25 |
| Credits |
15 |
| Assessment |
- Assignment [LOs 1 & 3]
- Formal examination [LOs 2 & 3]
|
| Lecturer(s) |
Dr Carolina Scarton & Ms Varvara Papazoglou |
| Resources |
|
| Aims |
- to develop an understanding of the fundamentals of
text processing;
- to acquire familiarity with techniques for handling
text corpora;
- to develop an understanding of the basic problems and
principles underlying text processing applications.
|
| Learning Outcomes |
By the end of this unit, a candidate should be able to:
- code in a programming language well-suited to text
handling
- identify and explain key techniques that are relevant
to performing a number of text processing tasks
- implement systems able to analyse large volumes of
textual data, and to perform basic, and in selected cases, more advanced text processing tasks
|
| Content |
- Programming for text processing
- Linguistic background
- Text processing topics, such as:
- Information retrieval
- Natural language generation
- Information Extraction
- Sentiment analysis
|
| Restrictions |
Optional modules within the department have limited capacity. We will always try to accommodate all students but cannot guarantee a place. |
| Teaching Method |
- Weekly lectures and lab sessions.
|
| Feedback |
Students can discuss their lab exercise code during lab
sessions. They will receive feedback comments on their
marked assignment work later on in the term (prior to the
exam). |
|
