Title :
Polarity detection of Turkish comments on technology companies
Author :
Isguder-Sahin, Gozde Gul ; Zafer, Harun Resit ; Adah, Esref
Author_Institution :
Dept. of Comput. Eng., Istanbul Tech. Univ., Istanbul, Turkey
Abstract :
In this study, comments about technology brands are collected from a popular Turkish website, eksisözlük, and classified as positive or negative. Turkish text is preprocessed with different kinds of filters and then modeled with 1-gram, 2-grams and 3-grams language models. Naive Bayes (NB), Support Vector Machines (SVM) and K nearest neighbor (KNN) classifiers are applied on different configurations of preprocessing techniques, language models and linguistic attributes for comparison. We measured best F-measure as 0,696 on our test dataset.
Keywords :
Bayes methods; Web sites; information filters; natural language processing; pattern classification; support vector machines; text analysis; 1-gram language model; 2-grams language model; 3-grams language model; F-measure; K nearest neighbor classifiers; KNN classifiers; NB; SVM; Turkish Website; Turkish comments polarity detection; Turkish text preprocessing; filters; linguistic attributes; naive Bayes; support vector machines; technology brands; technology companies; Companies; Computers; Educational institutions; Sentiment analysis; Support vector machines; Training; Vocabulary; Preprocessing; Turkish; polarity detection; sentiment analysis;
Conference_Titel :
Asian Language Processing (IALP), 2014 International Conference on
Conference_Location :
Kuching
DOI :
10.1109/IALP.2014.6973514
