Yelena Mejova (@yelenamejova) is currently a Scientist in the Social Computing Group at the Qatar Computing Research Institute HBKU. Specializing in social media analysis and mining, her work concerns the quantification of health and wellbeing signals in social media, as well as tracking of social phenomena, including politics and news consumption. Recently, she co-edited a volume on the use of Twitter for social science in Twitter: A Digital Socioscope, and a special issue of Social Science Computer Review on Quantifying Politics Using Online Data.
Previously, as a postdoctoral member of the Web Mining team at Yahoo! Research Barcelona, Yelena participated in the Linguistically Motivated Semantic Aggregation Engines (LiMoSINe) EU project. The design and evaluation of the resulting entity-based exploratory search system has been awarded the Best Paper Award at the ACM Conference on Information and Knowledge Management (CIKM) in 2013. Also, Yelena has published widely on sentiment analysis and its application to social media and political speech. She has given talks on the subject internationally, including Yandex’s Yet Another Conference (Moscow) and American University of Beirut.