People | Member | Hassan SaifPhD Research Student
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: Microblogs Sentiment Analysis, Opinion Mining, Information Extraction, Machine Learning, Natural Language Processing.
Saif, H., He, Y. and Alani, H. (2012) Semantic Sentiment Analysis of Twitter, International Semantic Web Conference, Boston, US
He, Y., Saif, H. and Wong, Z. (2012) Quantizing Opinions for Political Tweets Analysis, The 8th International Conference on Language Resources and Evaluation (LREC), Istanbul, Turkey
Saif, H., He, Y. and Alani, H. (2012) Alleviating Data Sparsity for Twitter Sentiment Analysis, Workshop: The 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages at World Wide Web (WWW) 2012, Lyon, France
Saif, H., He, Y. and Alani, H. (2011) Semantic Smoothing for Twitter Sentiment Analysis, Poster at The 10th International Semantic Web Conference (ISWC), Bonn, Germany
Saif, H., Fernandez, M., He, Y. and Alani, H. (2013) Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold, Workshop: Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM) at AI*IA Conference, Turin, Italy
Sentiment Analysis of Microblogs
Techreport ID: kmi-12-02
Author(s): Hassan Saif