The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges

no code implementations • NAACL (TeachingNLP) 2021 • Beatrice Alex, Clare Llewellyn, Pawel Michal Orzechowski, Maria Boutchkova

In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run.

Improving Topic Model Clustering of Newspaper Comments for Summarisation

no code implementations • ACL 2016 • Clare Llewellyn, Claire Grover, Oberl, Jon er

Clustering Topic Models

Homing in on Twitter Users: Evaluating an Enhanced Geoparser for User Profile Locations

no code implementations • LREC 2016 • Beatrice Alex, Clare Llewellyn, Claire Grover, Oberl, Jon er, Richard Tobin

As tweet-level geotagging remains rare, most prior work exploited tweet content, timezone and network information to inform geolocation, or else relied on off-the-shelf tools to geolocate users from location information in their user profiles.

Sentiment Analysis

Re-using an Argument Corpus to Aid in the Curation of Social Media Collections

no code implementations • LREC 2014 • Clare Llewellyn, Claire Grover, Oberl, Jon er, Ewan Klein

It is also noted that when learning argumentation classes we must be aware that the classes will most likely be of very different sizes and this must be kept in mind when analysing the results.

Argument Mining BIG-bench Machine Learning