Dr Martin Sykora PhD., BSc.
Lecturer in Information Management
Social media analytics; natural language processing and text-mining; advanced sentiment analysis (micro-blogging / Twitter); applied machine learning and data-mining; Big Data handling techniques; Web 2.0 and digital citizenship; information retrieval; information management
Dr. Martin Sykora is a Lecturer (Assistant Professor) in Information Management, at the Centre for Information Management (CIM), School of Business and Economics, University of Loughborough. His main research interests are in the areas of social-media / big-data analytics, micro-blogging, Web 2.0, digital citizenship, text-mining, semantic web, information management and information retrieval. Recently Martin developed an Ontology based system (within the EPSRC / DSTL funded EMOTIVE project), which currently holds the world’s best f-measure for fine grained emotion detection in social-media. Recently he has also won a Canadian bid (funded by SSHRC) in the value of £110,408, which will foster collaboration with academics and commercial partners between Canada and Loughborough University over a three year period. The project is looking at social-media for mapping and measuring states and physiological variables geographically, for applications in smart-cities. Martin has also been involved in the REDITES project (in the value of £241,834 – EPSRC / DSTL), developing big-data scalable social-media monitoring and tracking systems. He has also been involved in the AI2M project, developing a semantic platform (AI2M project, EPSRC) that can be used throughout the world to aid life-cycle management in manufacturing and related domains, through integrating data using Ontologies and Analytics.
Previously Martin also worked as a Research Associate at the University of Leicester and he has some commercial experience in Data-Management and Analytics. Martin obtained his PhD in Computer Science at Loughborough University.
- Social-Media Analytics
- Natural Language Processing and Text-Mining
- Practical Machine Learning Applications and Data-Mining
- Advanced Sentiment Analysis (Micro-blogging / Twitter)
- Big data handling techniques
- Multimedia and Text Mining
- Web 2.0 and digital citizenship
- Information Retrieval and Information Management