Hassan SaifResearch Associate
I joined KMI as a PhD student in April 2011. My research interests are in the areas of sentiment analysis, opinion mining, natural language processing, information extraction, and machine learning.
My current research project focuses on sentiment analysis of microblogs as apart of the EU FP7 integrated project “Robust” which aims to develop a highly scalable platform enabling trustworthy and timely information services in an ecosystem of online business communities. Robust involves academic and industrial partners including IBM and SAP.
Keys: 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