1 / 11

Mining the Social Web: New Techniques and Methodologies for Social Data Mining

This international workshop aims to study and discuss new and innovative techniques and methodologies for social data mining, including recommendations, personalization, e-recruitment, opinion mining, sentiment analysis, and searching for multimedia data. Join professionals and researchers in the fields of personalization, search, and text mining to explore this promising research area.

jbird
Download Presentation

Mining the Social Web: New Techniques and Methodologies for Social Data Mining

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Spiros Sirmakessis, eBusiness & UX Lab, www.ebusiness-lab.gr Computer Informatics and Engineering Department @ TEI of Western Greece 2nd international workshop in Mining the Social Web SoWeMine

  2. Workshop Thematic Area • The rapid development of modern Information and Communication technologies (ICTs) in the past few years and their introduction into people’s daily lives has greatly increased the amount of information available at all levels of their social environment. • People have been steadily turning to the social web for social interaction, news and content consumption, networking, and job seeking. 

  3. As a result, vast amounts of user information are populating the social Web. In light of these developments the social mining workshop aims to study • new and innovativetechniques and • methodologies on social data mining. • Social mining is a fast-growing research area, which includes various tasks such as • recommendations, personalization, • e-recruitment, opinion mining, • sentiment analysis, • searching for multimedia data (images, video, etc).

  4. Aim of the Workshop • This workshop aims to study (and even go beyond) the state of the art on social web mining, • a field that merges the topics of social network applications and web mining. • We aim to create a forum for professionals and researchers in the fields of personalization, search, text mining etc to discuss the application of their techniques and methodologies in this new and very promising research area. • The workshop will particularly try to encourage the discussion on new emergent issues related to current trends derived from the creation and use of modern Web applications.

  5. History of the workshop…that is • The previous 1st one… 23-26 June 2015.

  6. The 1stSoWeMine Workshop • Presented scientific results in • Sensing airports’ traffic by mining location sharing social services • Extracting workers candidates' personalitytraits based on their social media use. • Recommending music clips in spotify though twitter tweets • Retrieving Relevant and InterestingTweets during Live Television Broadcasts • Detecting topics in large posted documents

  7. SoWeMineProgramme this year • 3 very interesting presentations will take place in the area of Information and Social Web

  8. “Tracking Dengue Epidemics using Twitter Content Classification and Topic Modelling” By Paolo Missier, Alexander Romanovsky, Tudor Miu, Atinder Pal, Michael Daniilakis, Alessandro Garcia, Diego Cedrim and Leonardo Da Silva Sousa Newcastle University, UK & PUC-Rio, Rio de Janeiro, Brazil • The paper works in twitter for a very interesting topic detection; mosquito-borne diseases ! • Detecting and preventing outbreaks of mosquito-borne diseases such as Dengue and Zika in Brasil and other tropical regions has long been a priority for governments in affected areas. • Streaming social media content, such as Twitter, is increasingly being used for health vigilance applications such as flu detection

  9.  ”Identifying great teachers through their online presence” By Evanthia Faliagka, Maria Rigou, and Spiros Sirmakessis, Technological Educational Institution of Western Greece, University of Patras, & Hellenic Open University • Teachers’ evaluation is a very tricky task as there are a lot of criteria, objective and not that are important to identify the suitability of a teacher to a specific class. • A teacher’s background as his education and experience, • his personality • even the students of the class are some of the important criteria that take part in his evaluation. • In this work authors propose a novel approach and a prototype system which extracts a set of objective criteria from the teachers’ LinkedIn profile, and infers their personality characteristics using linguistic analysis on their Facebook and twitter posts.

  10. “Experimental measures of news personalization in Google News” By Vittoria Cozza, Van Tien Hoang, Marinella Petrocchi and Angelo Spognardi , IIT-CNR, Pisa, Polytechnic University of Bari & IMT School for Advanced Studies, Lucca, Italy & DTU Compute, Lingby, Denmark • Authors work with Filter Bubbles. • Search engines and social media keep trace of profile- and behavioral-based distinct signals of their users, to provide them personalized and recommended content. • Authors focus on the level of web search personalization, to estimate the risk of trapping the user into these Filter Bubbles with an experimentation carried out on Google News platform.

  11. So… • Interesting results in Mining the Social Data are going to be presented. • Deadline for authors to submit final camera-ready papers to workshop organisers: 20/06/2016 • Stay relaxed and Enjoy the Workshop and the last hours in ICWE 2016 • and the last night in Lugano.

More Related