Opinion mining for social media and news items in Romanian

Author

Cardei, Claudia ; Manisor, Filip ; Rebedea, Traian

Author_Institution

Fac. of Autom. Control & Comput., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2013

fDate

26-27 Aug. 2013

Firstpage

240

Lastpage

245

Abstract

Although opinion mining solutions with good performance exist for English, it is much more difficult to develop an effective solution for other languages. Moreover, even in English the results deteriorate strongly if the texts that are processed are from a variety of contexts (domains, sources, etc.) We present the preliminary results of several experiments with a system that uses machine learning in order to identify opinions in a corpus in Romanian that was manually annotated. This dataset contains texts from a wide range of sources: popular social networking sites, blogs, comments, news providers and online forums.

Keywords

data mining; learning (artificial intelligence); social networking (online); text analysis; English; Romanian; blogs; comments; machine learning; news items; news providers; online forums; opinion mining; popular social networking sites; social media; Accuracy; Classification algorithms; Data mining; Machine learning algorithms; Media; Support vector machines; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Computer Science (ICSCS), 2013 2nd International Conference on

Conference_Location

Villeneuve d´Ascq

Print_ISBN

978-1-4799-2020-4

Type

conf

DOI

10.1109/IcConSCS.2013.6632054

Filename

6632054