Sentiment analysis with recurrent neural networks on turkish reviews domain

Rysbek, Darkhan
Easier access to computers, mobile devices, and availability of the Internet have given people the opportunity to use social media more frequently and with more convenience. Social media comes in many forms, including blogs, forums, business networks, review sites, and social networks. Therefore, social media generates massive sources of information in the shape of users‘ views, opinions, and arguments about various products, services, social events, and politics. By well-structuring and analysing this kind of data we can obtain significant feedbacks about products and services. This area of research is typically called sentiment analysis or opinion mining. In the last decade, this field of Natural Language Processing (NLP) has witnessed a fascinating progress due to Deep Neural Networks (DNNs). Recurrent Neural Networks (RNNs) are one of the main types of DNN architectures which are used at modelling units in sequence. They have been successfully used for sequence labelling and sequence prediction tasks, such as handwriting recognition, language modelling, machine translation, and sentiment analysis. Most of the studies carried on sentiment analysis using RNNs have been focused on English texts and some researches have studied on different languages. In this thesis, sentiment classification using RNNs is applied on Turkish reviews domain. Additionally, different types of word representations are used to achieve acceptable results. This dissertation presents a description of the considered model architectures and comparison of them with various word representations on two Turkish movie reviews datasets. Generally, our experimental results show that RNN models achieve reasonably good results on Turkish texts as on English texts and choice of different word representations can improve the performance of the approaches.


Perceptions and experiences of children, parents and teachers regarding the internet usage, risks and safety for children
Kaşıkçı, Duygu Nazire; Can, Gülfidan; Department of Computer Education and Instructional Technology (2014)
With the development of online technology and the Internet, opportunities has been offered for variety areas such as education, entertainment, commercial and communication to the Internet users. However, there is a general concern about the harmful consequences of certain online activities. The aim of this study is to examine the children's, parents' and teachers' experiences and perceptions about the risks of the Internet for children. This was accomplished by identifying children's Internet usage at schoo...
StreamMARS: A Streaming Multivariate Adaptive Regression Splines Algorithm
Batmaz, İnci (2019-12-14)
Computers and internet have become inevitable parts of our life in the 1990s, and afterwards, bulk of data are started being recorded in digital platforms automatically. To extract meaningful patterns from such data computational methods are developed in data mining and machine learning domains. Multivariate adaptive regression splines (MARS) is one such method successfully applied to off-line static data for prediction. In about last ten years, we face with the big data problem due to the steady increase i...
Double network superresolution
Tarhan, Cem; Bozdağı Akar, Gözde.; Department of Electrical and Electronics Engineering (2019)
As the social platforms became widespread, the image and video based materials are being shared continuously and increasingly each day. This not only brings an issue of storage but also internet bandwidth usage. In order for a user to effectively run a superresolution (SR) algorithm on a mobile device, a light-weight but good performing algorithm must be designed. In recent years, convolutional neural networks (CNNs) have been widely used for SR. Although their indisputable success, CNNs lack proper mathema...
How Web 2.0 tools can be integrated in early childhood education?
Tunga, Yeliz; Aytekin, Merve; Kaplan, Göknur (null; 2018-05-04)
Recently, considering the fact that technology use is inevitable for everyone due to increasing ease of access to technological devices such as mobile phones and tablet PCs along with the necessity of digital literacy in the 21st century; technology use in early childhood education is no longer a taboo. In fact, the question whether technology should be used in early childhood education classrooms has shifted to how it can be used in a more developmentally appropriate way in these classrooms. However, the c...
Attitude towards Mobile Learning in English Language Education
Yurdagül, Cemil; Öz, Saba (MDPI AG, 2018-9-10)
<jats:p>Mobile devices, especially smart phones, are the most frequently used technological devices for daily routines. Mobile devices can be used for various purposes to meet different needs. Since education is a core requirement for human beings, smart phones are being integrated into education. However, it remains to be seen whether they have an impact on learning or not. Consequently, integration of these technologies, or “mobile learning”, has become a popular research study in the field of instruction...
Citation Formats
D. Rysbek, “Sentiment analysis with recurrent neural networks on turkish reviews domain,” Thesis (M.S.) -- Graduate School of Applied Mathematics. Scientific Computing., Middle East Technical University, 2019.