Turkish Sentiment Analysis System via Ensemble Learning

Year 2020, Ejosat Special Issue 2020 (HORA), 122 - 129, 15.08.2020

Saed Alqaraleh

https://doi.org/10.31590/ejosat.779181

Cited By: 2

Abstract

Nowadays, sentiment analysis (SA) also known as opinion mining (OM) is widely used and has an impressive effect in many fields, such as marketing, politics, and even, company’s products are now adjusted based on users’ opinions. In this paper, a new efficient sentiment analysis system that supports the Turkish language has been introduced. In addition, as Turkish is an agglutinative language, which requires special processing, an efficient preprocessing model was also implemented as a part of the developed system.
Several experiments using the challenging and benchmark “The Turkish movie reviews” dataset have been conducted, and it is obvious that the constructed approach can efficiently support the Turkish language and can achieve a quite good performance.

Keywords

Sentiment Analysis, Text Classification, Opinion Mining, Turkish Language, Ensemble learning, Natural Language Processing

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