Mike Thelwall


2018

pdf bib
What Makes You Stressed? Finding Reasons From Tweets
Reshmi Gopalakrishna Pillai | Mike Thelwall | Constantin Orasan
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Detecting stress from social media gives a non-intrusive and inexpensive alternative to traditional tools such as questionnaires or physiological sensors for monitoring mental state of individuals. This paper introduces a novel framework for finding reasons for stress from tweets, analyzing multiple categories for the first time. Three word-vector based methods are evaluated on collections of tweets about politics or airlines and are found to be more accurate than standard machine learning algorithms.

pdf bib
Trouble on the Road: Finding Reasons for Commuter Stress from Tweets
Reshmi Gopalakrishna Pillai | Mike Thelwall | Constantin Orasan
Proceedings of the Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG)

2013

pdf bib
More than Bag-of-Words: Sentence-based Document Representation for Sentiment Analysis
Georgios Paltoglou | Mike Thelwall
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

pdf bib
Semi-supervised vs. Cross-domain Graphs for Sentiment Analysis
Natalia Ponomareva | Mike Thelwall
Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013

2012

pdf bib
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
Natalia Ponomareva | Mike Thelwall
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

2010

pdf bib
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Georgios Paltoglou | Mike Thelwall
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics