Hassan SaifResearch 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
Saif, H., Fernandez, M., Rowe, M. and Alani, H. (2016) On the Role of Semantics for Detecting pro-ISIS Stances on Social Media, Poster at The 15th International Semantic Web Conference, Kobe, Japan
Saif, H., Ortega, J., Fernandez, M. and Cantador, I. (2016) Sentiment Analysis in Social Streams Emotions and Personality in Personalized Services, eds. Springer
Cano, A., Saif, H., Alani, H. and Motta, E. (2016) Semantic Topic Compass--Classification Based on Unsupervised Feature Ambiguity Gradation, 13th International Conference, ESWC 2016, Crete, Greece
Saif, H., Bashevoy, M., Taylor, S., Fernandez, M. and Alani, H. (2016) SentiCircles: a platform for contextual and conceptual sentiment analysis, Demo at 13th International Conference, ESWC 2016, Crete, Greece, Crete, Greece
Rowe, M. and Saif, H. (2016) Mining pro-ISIS radicalisation signals from social media users, The 10th International Conference on Web and Social Media
Sentiment Analysis of Microblogs
Techreport ID: kmi-12-02
Author(s): Hassan Saif