|Module Name||Text Analytics|
|ECTS Weighting ||5 ECTS|
|Semester Taught||Semester 2|
|Module Coordinator/s||Dr. Carl Vogel|
Module Learning Outcomes
On successful completion of this module, students should be able to:
- Grasp the scope and limitations of finite state methods in text analysis;
- Apply concepts from model theory within content analytics;
- Analyze, using qualitative and quantitative methods, entailments in natural language texts, distinguishing entailments from suggestions and associations;
- Comprehend and apply methods of sentiment analysis and metaphor understanding;
- Demonstrate ability to collaborate within a designated team;
- Provide constructive criticism within a scholarly peer review exercise;
- Collaboratively compose a scholarly research article informed by the literature, novel exercises in text analytics and responding to peer review.
Specific topics addressed in this module include:
- Finite state methods for representation and reasoning, model theoretic semantics;
- Meaning preserving syntactic alternations, text-entailment, text associations;
- Formal language theory;
- Statistical Language Processing;
- Sentiment and metaphor analysis.
Teaching and Learning Methods
Lectures, readings, discussion of readings, laboratory notebook record keeping, team meetings, team collaboration, peer review.
|Assessment Component||Brief Description||Learning Outcomes Addressed||% of Total||Week Set||Week Due|
|Reflections on module|
content in relation to term
|L01-L05, L07||10%||Starting Week 1||Weekly|
|Written summaries of associated readings composed individually.||L01-L04, L07||10%||Week 1||Approxi mately|
|Mid-term Essay||Initial submission of group essay.||L01-L05, L07||1%||Week 1||Week 7|
|Peer Reviews||Peer reviews of mid-term essays composed.||L06||26.5%||Week 8||Week 9|
|Participation||Discussion of readings and lecture material.||L01-L04||2.5%||Week 1||Weekly|
|Final Essay||Final group essay submitted archiving team research and in response to peer review.||L01-L05, L07||50%||Week 1||Week 12|
Contact Hours and Indicative Student Workload
|Contact Hours (scheduled hours per student over full module), broken down by:||22 hours|
|Independent Study (outside scheduled contact hours), broken down by:||98 hours|
|Preparation for classes and review of material (including preparation for examination, if applicable)||36 hours|
|Completion of term essays||51 hours|
|Completion of peer reviews||11 hours|
|Total Hours||120 hours|
Recommended Reading List
- Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto (2013) Recognizing Textual Entailment: Models and Applications. Morgan Claypool.
- Carol Genetti (2019) How Languages Work: An Introduction to Language and Linguistics. Cambridge University Press. 2nd Edition.
- Dan Jurafsky and James H. Martin (2009) Speech and Language Processing (2nd ed.) Pearson.
- Beth Levin (1993) English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago Press.
- Bing Liu (2014). Sentiment Analysis and Opinion Mining. Cambridge: Cambridge University Press.
- CD Manning and H. Schutze (1999) Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press.
Prerequisite modules: N/A
Other/alternative non-module prerequisites: N/A
Lecture guest link:
Monday, February 8, 14:00-15:50: https://eu.bbcollab.com/guest/7fd1b6a46a2a459dbb5ec5e0cb7ed962