Better Understand Your Texts by Adding Semantic Tags
The Australian Text Analytics Platform (ATAP) project is a project that aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of this project, we have adapted with permission, a Semantic Tagger, developed by the University Centre for Computer Corpus Research on Language (UCREL) at Lancaster University. This tool uses the Python Multilingual UCREL Semantic Analysis System (PyMUSAS) to tag your text data so that you can extract token level semantic tags from your text. In addition to the USAS tags, this tool can also recognize Multi Word Expressions (MWE), i.e., expressions formed by two or more words that behave like a unit such as 'South Australia', and identifies lemmas and Part-of-Speech (POS) tags in the text. For example, in the sentence ‘President Joe Biden attended two meetings today’, the tool will tag each token with its semantic tag like this -> ‘President Joe Biden’: MWE of [Personal names], ‘attended’: [Participating], ‘two’: [Number], ‘meetings’: [Participating] and ‘today’: [Time: Present; simultaneous]. This tool is available in both English and multi-lingual (Chinese, Italian and Spanish) versions and supports saving the results locally for further analysis, enabling you to gain meaningful insights into your research questions.
This workshop will be of interest to Researchers and HDR Students in Linguistics, Business, Law, Science, or those who are interested in working with text datasets. No background knowledge of NLP or coding experience is required for this ~1.5 hour long online workshop, to be delivered via Zoom. You can BYO a small dataset (10-15 texts, stored as one text per file or all texts compressed in a zip file) – or use one of our sample datasets to get started.
It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.
For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date.
Sydney Informatics Hub
Open to: Academic and Professional Staff, research students, affiliates of The University of Sydney and general public.
Please use your official university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc if available.
