A new approach for a domain-independent turkish sentiment seed lexicon compilation
Joint Authors
Ekinci, Ekin
Omurca, Sevinc Ilhan
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019)11 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Languages & Comparative Literature
Information Technology and Computer Science
Topics
Abstract EN
Sentiment analysis deals with opinions in documents and relies on sentiment lexicons; however, Turkish is one of the poorest languages in regard to having such ready-to-use sentiment lexicons.
In this article, we propose a domainindependent Turkish sentiment seed lexicon, which is extended from an initial seed lexicon, consisting of 62 positive/negative seeds.
The lexicon is completed by using the beam search method to propagate the sentiment values of initial seeds by exploiting synonym and antonym relations in the Turkish Semantic Relations Dataset.
Consequently, the proposed method assigned 94 words as positive sentiments and 95 words as negative sentiments.
To test the correctness of the sentiment seeds and their values the first sense, the total sum and weighted sum algorithms, which are based on SentiWordNet and SenticNet 3, are used.
According to the weighted sum, experimental results indicate that the beam search algorithm is a good alternative to automatic construction of a domain-independent sentiment seed lexicon.
American Psychological Association (APA)
Ekinci, Ekin& Omurca, Sevinc Ilhan. 2019. A new approach for a domain-independent turkish sentiment seed lexicon compilation. The International Arab Journal of Information Technology،Vol. 16, no. 5.
https://search.emarefa.net/detail/BIM-854860
Modern Language Association (MLA)
Ekinci, Ekin& Omurca, Sevinc Ilhan. A new approach for a domain-independent turkish sentiment seed lexicon compilation. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019).
https://search.emarefa.net/detail/BIM-854860
American Medical Association (AMA)
Ekinci, Ekin& Omurca, Sevinc Ilhan. A new approach for a domain-independent turkish sentiment seed lexicon compilation. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5.
https://search.emarefa.net/detail/BIM-854860
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-854860