The Assistant Professor and member of CoNDiS Lab Dr. Michael Paraskevas, participated in the 19th IEEE International Conference on Speech and Computer SPECOM 2017, that held on 12-14 Spetember 2017 in Hatfield (UK) and gave the talk "Examining the Impact of Feature Selection on Sentiment Analysis for the Greek Language" (presentation & paper).
Paper refers to an optimised algorithm for feature selection process in stentiment analysis. Sentiment analysis identifies the attitude that a person has towards a service, a topic or an event and it is very useful for companies which receive many written opinions. Research studies have shown that the determination of sentiment in written text can be accurately determined through text and part of speech features. In this paper, we present an approach to recognize opinions in Greek language and we examine the impact of feature selection on the analysis of opinions and the performance of the classifiers. We analyze a large number of feedback and comments from teachers towards e-learning, life-long courses that have attended with the aim to specify their opinions. A number of text-based and part of speech based features from textual data are extracted and a generic approach to analyze text and determine opinion is presented. Evaluation results indicate that the approach illustrated is accurate in specifying opinions in Greek text and also sheds light on the effect that various features have on the classification performance.
The Assistant Professor and member of CoNDiS Lab Dr. Michael Paraskevas, participated in the 19th IEEE International Conference on Computational Science and Engineering (CSE 2016), that held on 24-26 August 2016 in Paris, France and gave two talks:
The first “Design of a secure BYOD policy for the Greek School Network: a Case Study” refers to a case study for the design of an effective and secure BYOD policy for the Greek School Network, discussing also the main security challenges and issues faced and how they were handled. The BYOD is a promising technology that could add long-term value in the educational process and learning activities, when it is designed in a secure and efficient manner. (presentation & paper)
The second “Integrating the Kaltura Video Platform with the Photodentro Video Repository: a Case Study” refers to a case study for the integration of two web-based systems, the ‟Kaltura” video platform and the ‟Photodentro Video” digital repository. The integration is based on the Open Archives Initiative Protocol for Metadata Harvesting and an associated automation, transformation, and push/pull notification strategy. (presentation & paper)