CoNDiS participates in the organization of the workshop "Natural Language Processing for Social Media Analysis"

The Assistant Professor and member of CoNDiS Lab Dr. Michael Paraskevas, participates in the Organizing Committee of the workshop "Natural Language Processing for Social Media Analysis" that will be hosted at 10th Hellenic Conference on Artificial Intelligence - SETN 2018, 9-15 July 2018, Patras, Greece.

Short description: The exploitation of natural language from social media data is an intriguing task in the fields of text mining and natural language processing (NLP), with plenty of applications in social sciences and social media analytics. In this special session, we call for research papers in the broader field of NLP techniques for social media analysis. The topics of interest include (but are not limited to): sentiment analysis in social media and beyond (e.g. stance identification, sarcasm detection, opinion mining), computational sociolinguistics (e.g., identification of demographic information such as gender, age), and NLP tools for social media mining (e.g., topic modelling for social media data, text categorization and clustering for social media, social media visual analytics).

More info: http://setn2018.upatras.gr/nlp4sma-2018

CONDIS participating in SPECOM 2017

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.

CONDIS participating in CSE 2016

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)

 

 

Keynote speech at IABL 2016

 

The Assistant Professor and member of CoNDiS Lab Dr. Michael Paraskevas, participated as keynote speaker in the "International Conference of Blended Learning for the 21st Century Learner", IABL2016, that held on 22-24 April 2016 in Kavala, Greece.

Prof. Paraskevas gave a talk about the open and distance learning services offered by the Greek School Network in the Greek educational community. Specifically, Prof. Paraskevas presented a versatile blended learning model that is oriented to computer engineering educators in order to advance their technical skills. For the realization of this model a Hybrid Educational Platform (HEP) was developed exploiting the robustness and functionality of the Greek School Network. Findings from the evaluation of the related training activities indicate a well-promising learning frame
work that compensates the growing needs for information and communication technologies, thus establishing a modern and attractive education environment in the Greek Society. Furthermore, a clustering and classification methodology framework is introduced in order to efficiently examine and extract behavioral trends of the participants. The results indicate the robustness of the proposed methodology scheme which can potential applied to various evaluation tasks.

Get presentation from here.

Participation at "PatrasIQ 2016"

The Telecommunications, Network Technologies & DSP Systems Laboratory (CoNDiS Lab) participated in the "3rd Exhibition of Expertise Transport - Patras Innovation Quest (PatrasIQ) 2016", which took place between 15 and April 17, 2016 at the "Dimitris Tofalos" Sports Center in Patras, Greece. In the context of promoting know-how, innovative ideas and networking with research and industrial organizations of Western Greece, the following projects and research activities were presented:

  • «DYNACARGO: Dynamic Routing of Cargo hauling» implemented under the '2011 Cooperation' Action. The lab participates as the project leader
  • Digital Forensic analysis
  • e-Consultation and e-Democracy

More Articles ...

  • 1
  • 2