In this paper, an efficient model for the Turkish language sentiment analysis has been introduced. As Turkish is an agglutinative language, which requires spatial processing, an efficient pre-processing model was also implemented and integrated as a part of the developed system. In addition, the Deep Convolutional Neural Networks (ConvNet) have been integrated to build an efficient system. Several experiments using the "Turkish movie reviews" dataset have been conducted, and it has been observed that the developed system has improved the sentiment analysis system that supports the Turkish language and significantly outperforms the existing state-of-the-art Turkish sentiment analysis systems
With the increment of Internet usage, there has been a significant increase in the access and intera...
Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative,...
Social media hold valuable, vast and unstructured information on public opinion that can be utilized...
Sentiment analysis has attracted a lot of research interest in recent years, especially in the conte...
This study proposes using deep learning for sentiment analysis in Turkish. Traditional machine learn...
With the developing technology, the number of comments made on the internet is increasing day by day...
28th Signal Processing and Communications Applications Conference, SIU (2020; Gaziantep, Turkey)Whil...
Abstract. In this paper, we propose a comparison of Lexicon based and Machine Learning based sentime...
International audienceWhile most text classification studies focus on monolingual documents, in this...
Extracting useful information for sentiment analysis and classification problems from a big amount o...
Nowadays the amount of textual information on the web is grown rapidly. The huge textual data needs ...
The aim of this study is to analyse the effects of data pre-processing methods for sentiment analysi...
Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative,...
Sentiment Classification is a key area of natural language processing research that is frequently ut...
World Wide Web (WWW) daha etkileşimli bir hal aldıkça, görüşlerini paylaşan kullanıcıların sayısı ar...
With the increment of Internet usage, there has been a significant increase in the access and intera...
Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative,...
Social media hold valuable, vast and unstructured information on public opinion that can be utilized...
Sentiment analysis has attracted a lot of research interest in recent years, especially in the conte...
This study proposes using deep learning for sentiment analysis in Turkish. Traditional machine learn...
With the developing technology, the number of comments made on the internet is increasing day by day...
28th Signal Processing and Communications Applications Conference, SIU (2020; Gaziantep, Turkey)Whil...
Abstract. In this paper, we propose a comparison of Lexicon based and Machine Learning based sentime...
International audienceWhile most text classification studies focus on monolingual documents, in this...
Extracting useful information for sentiment analysis and classification problems from a big amount o...
Nowadays the amount of textual information on the web is grown rapidly. The huge textual data needs ...
The aim of this study is to analyse the effects of data pre-processing methods for sentiment analysi...
Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative,...
Sentiment Classification is a key area of natural language processing research that is frequently ut...
World Wide Web (WWW) daha etkileşimli bir hal aldıkça, görüşlerini paylaşan kullanıcıların sayısı ar...
With the increment of Internet usage, there has been a significant increase in the access and intera...
Sentiment analysis aims to automatically classify the subject’s sentiment (e.g., positive, negative,...
Social media hold valuable, vast and unstructured information on public opinion that can be utilized...