COMP6990 Document Analysis
Not offered in 20246 units6000-level
Processing of semi-structured documents such as internet pages, RSS feeds and their accompanying news items, and PDF brochures is considered from the perspective of interpreting the content. This course considers the \document" and its various genres as a fundamental object for business, government and community. For this, the course covers four broad areas: (A) information retrieval, (B) natural language processing, (C) machine learning for documents, and (D) relevant tools for the Web. Basic tasks here are covered including content collection and extraction, formal and informal natural language processing, information extraction, information retrieval, classification and analysis. Fundamental probabilistic techniques for performing these tasks, and some common software systems will be covered, though no area will be covered in any depth.
- 2024not offered
- 2025not listed
- 2026not listed
- 2027not listed
Prerequisites in 2024
Read automatically from the handbook's wording
Incompatible with COMP4650, COMP6490: you can't count both.
The handbook's original wording (2024)
To enrol in this course you must be studying a Master of Applied Data Analytics. Incompatible with COMP4650 and COMP6490 .
What it leads to in 2024
No course names COMP6990 in its 2024 prerequisites.