Keith Cortis


2019

pdf bib
A Social Opinion Gold Standard for the Malta Government Budget 2018
Keith Cortis | Brian Davis
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)

We present a gold standard of annotated social opinion for the Malta Government Budget 2018. It consists of over 500 online posts in English and/or the Maltese less-resourced language, gathered from social media platforms, specifically, social networking services and newswires, which have been annotated with information about opinions expressed by the general public and other entities, in terms of sentiment polarity, emotion, sarcasm/irony, and negation. This dataset is a resource for opinion mining based on social data, within the context of politics. It is the first opinion annotated social dataset from Malta, which has very limited language resources available.

2017

pdf bib
SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
Keith Cortis | André Freitas | Tobias Daudert | Manuela Huerlimann | Manel Zarrouk | Siegfried Handschuh | Brian Davis
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour, and truth” theme. This task contains two tracks, where the first one concerns Microblog messages and the second one covers News Statements and Headlines. The main goal behind both tracks was to predict the sentiment score for each of the mentioned companies/stocks. The sentiment scores for each text instance adopted floating point values in the range of -1 (very negative/bearish) to 1 (very positive/bullish), with 0 designating neutral sentiment. This task attracted a total of 32 participants, with 25 participating in Track 1 and 29 in Track 2.

2014

pdf bib
What or Who is Multilingual Watson?
Keith Cortis | Urvesh Bhowan | Ronan Mac an tSaoir | D.J. McCloskey | Mikhail Sogrin | Ross Cadogan
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations