Member
Miriam Fernandez 
Research Fellow
+44 (0)1908 659400
My current research at KMi is focused on the analysis of online communities (Social Web). My aim is to understand users' behaviour and needs and to develop prediction models to foreseen risks and opportunities in online communities based on the behaviour of their users. I have also previously worked on semantic Search. Within the context of this research line I investigated methods to enhance traditional IR and QA techniques introducing higher level of conceptualisations in the form of ontologies as well as methods and benchmarks to evaluate semantic search systems
Keys: social web, semantic web, information retrieval, personalization, contextualization
Team: Harith Alani, , Elizabeth Cano, Smitashree Choudhury, Lara Piccolo, Hassan Saif, Keerthi Thomas
News
09 Aug 2016
07 Apr 2016
Publications
Saif, H., Fernandez, M., , 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
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
Piccolo, L., Fernandez, M., Alani, H., Scharl, A., Föls, M. and Herring, D. (2016) Climate Change Engagement: Results of a Multi-Task Game with a Purpose, Workshop: SWEEM 2016 - the 1st International Workshop on the Social Web for Environmental and Ecological Monitoring at 10th International AAAI Conference on Web and Social Media, Cologne, Germany The Workshops of the 10th Intl. AAAI Conf. on Web and Social Media: Technical Reports WS-16-16, AAAI
Saif, H., He, Y., Fernandez, M. and Alani, H. (2016) Contextual semantics for sentiment analysis of Twitter, Information Processing & Management Journal, Elsevier
