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., , J., Fernandez, M. and Cantador, I. (2015) Sentiment Analysis in Social Streams Emotions and Personality in Personalized Services, eds. Springer
Saif, H., He, Y., Fernandez, M. and Alani, H. (2015) Contextual semantics for sentiment analysis of Twitter, Information Processing & Management Journal
Saif, H., He, Y., Fernandez, M. and Alani, H. (2014) Semantic Patterns for Sentiment Analysis of Twitter, The 13th International Semantic Web Conference (ISWC), Riva del Garda - Trentino Italy
Saif, H., Fernandez, M. and Alani, H. (2014) Automatic Stopword Generation using Contextual Semantics for Sentiment Analysis of Twitter, Poster at The 13th International Semantic Web Conference (ISWC), Riva del Garda - Trentino Italy
Saif, H., Fernandez, M., He, Y. and Alani, H. (2014) On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter, The 9th International Conference on Language Resources and Evaluation, Reykjavik, Iceland
Sentiment Analysis of Microblogs
Techreport ID: kmi-12-02
Author(s): Hassan Saif