Combining Soft Computing and Statistics for Opinion Finding and Polarity Detection in Blogs (OPISOFT)

• Forschungsstelle: COST
• Projektnummer: C08.0113
• Projekttitel Englisch: Combining Soft Computing and Statistics for Opinion Finding and Polarity Detection in Blogs (OPISOFT)

Schlüsselwörter (Englisch)

Opinion Retrieval; Blog search

Forschungsprogramme (Englisch)

COST-Action IC0702 - Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions

Kurzbeschreibung (Englisch)

See abstract

Weitere Hinweise und Angaben (Englisch)

Full name of research-institution/enterprise: Università della Svizzera italiana Facoltà di Scienze informatiche, USI

Partner und Internationale Organisationen (Englisch)

AT, BE, CH, CY, DE, EE, ES, FR, HU, IT, LT, NL, NO, PL, PT, TR, UK

Abstract (Englisch)

The OpiSoft project is investigating different methods of soft computing and statistical techniques to improve opinion retrieval on user generated content, specially blogs. The work is being carried out by the principal investigator together with Mrs. Shima Gerani, the PhD student supported by the project. Mrs Shima Gerani is now Dr Shima Gerani, having successfully defended her PhD thesis on 13 September 2012. In the last six months of the project we focused on wrapping things up and the student working in the project concentrated her work writing up the doctoral thesis. The thesis summarised all the work carried out by the student over the 4+ years of the doctoral studies. She explained the opinion retrieval problem in more details, explained the background, related works, the challenges in opinion retrieval in blogs and presented our proposed methods for handling the challenges. She explained in details the evaluation methodology and reported the results and analysis of the experimental investigation. We also spent some time preparing papers to present the results of the overall work. In particular, we spent time revising our submission to the ACM Transaction on Information Systems, which has now been finally accepted for publication.

Datenbankreferenzen (Englisch)

Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. [phone] Swiss Project-Number: C08.0113