@inproceedings{d7e41e2f60c84dc29222a0a0d2ee169e,
title = "T{\"U}RK{\c C}E film yorumlarinda duygu analizi",
abstract = "Analysing the sentiments in text files, movie website's user comment is an important research fields both for companies and the academics due to the challenges and opportunities it possesses. In this study, we applied lexicon based method and Machine learning algorithms that are support vector machine, naive bayes, logistic regression and decision tree methods to various sized Turkish datasets. As a result, we observed that the Logistic Regression algorithm gave the best result with an accuracy of %77.35",
keywords = "Algorithms, Lexicon Based Method, Machine Learning, Sentiment Analysis, Turkish",
author = "Abdullah Uslu and Sefa Tekin and Tevfik Aytekin",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",
year = "2019",
month = apr,
doi = "10.1109/SIU.2019.8806355",
language = "T{\"u}rk{\c c}e",
series = "27th Signal Processing and Communications Applications Conference, SIU 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "27th Signal Processing and Communications Applications Conference, SIU 2019",
}