TY  - JOUR
TI  - A hybrid sentiment analysis method for Turkish
AB  - This paper presents a hybrid methodology for Turkish sentiment analysis, which combines the lexicon-basedand machine learning (ML)-based approaches. On the lexicon-based side, we use a sentiment dictionary that is extendedwith a synonyms lexicon. Besides this, we tackle the classification problem with three supervised classifiers, naive Bayes,support vector machines, and J48, on the ML side. Our hybrid methodology combines these two approaches by generatinga new lexicon-based value according to our feature generation algorithm and feeds it as one of the features to machinelearning classifiers. Despite the linguistic challenges caused by the morphological structure of Turkish, the experimentalresults show that it improves the accuracy by 7% on average.
AU  - aktaş, özlem
AU  - Kılınç, Deniz
AU  - ERŞAHİN, Mustafa
AU  - ERŞAHİN, BUKET
DO  - 10.3906/elk-1808-189
PY  - 2019
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 27
IS  - 3
SN  - 1300-0632
SP  - 1780
EP  - 1793
DB  - TRDizin
UR  - http://search/yayin/detay/336875
ER  -