Hassan Saif (Alumni)Research Associate
Hassan Saif is a research associate at the Knowledge Media Institute. His research interests are in Sentiment Analysis, Machine Learning and Social Semantics.
Hassan has recently had a PhD degree at the Open University on semantic sentiment analysis of microblogs. He has extensive expertise in social media analysis and data mining, and has published in top semantic web conferences and journals.
Along his career in KMI, Hassan has been involved in several EU projects including, ROBUST and SENSE4US, where he developed various novel techniques of using Semantics in Sentiment Analysis.
Previously to joining KMi, Hassan worked as a research assistant at the University of Lincon, UK and as research engineer for NordicSense, Finland.
Keys: Social Semantic, Semantic Computing, Sentiment Analysis, Opinion Mining, Information Extraction, Machine Learning, Natural Language Processing, Semantic Web
Burel, G., Saif, H. and Alani, H. (2017) Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media, 16th International Semantic Web Conference, Vienna, Austria
Burel, G., Saif, H., Fernandez, M. and Alani, H. (2017) On Semantics and Deep Learning for Event Detection in Crisis Situations, Workshop: Workshop on Semantic Deep Learning (SemDeep), at ESWC 2017, Portoroz, Slovenia
Saif, H., Fernandez, M., Kastler, L. and Alani, H. (2017) Sentiment Lexicon Adaptation with Context and Semantics for the Social Web, Semantic Web Journal, 8, 5, pp. 643-665
Saif, H., Dickinson, T., Kastler, L., Fernandez, M. and Alani, H. (2017) A Semantic Graph-Based Approach for Radicalisation Detection on Social Media, Proc. Int. Extended Semantic Web Conference (ESWC), Portorož, Slovenia, 10249, pp. 571-587, Springer
Saif, H., Fernandez, M., Rowe, M. and Alani, H. (2016) On the Role of Semantics for Detecting pro-ISIS Stances on Social Media, ISWC 2016, Kobe, Japan, 1690
Sentiment Analysis of Microblogs
Techreport ID: kmi-12-02
Author(s): Hassan Saif