Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mansur Alp Toçoğlu"'
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
As the cryptocurrency trading market has grown significantly in recent years, the number of comments related to cryptocurrency has increased tremendously in social media platforms. Due to this, sentiment analysis of the cryptocurrency-related comment
Externí odkaz:
https://doaj.org/article/1dd9b27ad90d4fd9aa1d185fb946b8a0
Autor:
Mansur Alp Toçoğlu
Publikováno v:
Sakarya University Journal of Computer and Information Sciences, Vol 3, Iss 3, Pp 296-308 (2020)
The focus of this study is to provide a model to be used for the identification of sentiments of comments about education and profession life of software engineering in social media and microblogging sites. Such a pre-trained model can be useful to e
Externí odkaz:
https://doaj.org/article/f744bf4368dd4beaacb78ca3c203f953
Publikováno v:
Deu Muhendislik Fakultesi Fen ve Muhendislik. 24:855-868
Keywords: Deep Learning, Sentiment Analysis, Text Mining, COVID-19, Higher Education Öz 2020 yılında küresel COVID-19 pandemisi, ciddi ekonomik ve toplumsal kesintilere yol açtı. Pandemi sağlık, gıda, iş organizasyonları ve eğitim dahil o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14f2386dbc931ba1ec1d34c4376f0bf6
https://doi.org/10.21205/deufmd.2022247215
https://doi.org/10.21205/deufmd.2022247215
Autor:
AYTUĞ ONAN, Mansur Alp TOÇOĞLU
Social media and microblogging platforms generally contain elements of figurative and nonliteral language, including satire. The identification of figurative language is a fundamental task for sentiment analysis. It will not be possible to obtain sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::85f7601614f0f22d8f453779683c49b4
http://hdl.handle.net/20.500.12481/3847
http://hdl.handle.net/20.500.12481/3847
Autor:
Adil Alpkocak, Mansur Alp Toçoğlu
Publikováno v:
Volume: 27, Issue: 2 1213-1227
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
In this paper, we proposed a lexicon for emotion analysis in Turkish for six emotional categories happiness, fear, anger, sadness, disgust, and surprise. Besides, we also investigated the effects of a lemmatizer and a stemmer, two term-weighting sche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4712b708c260eb2d20e130d23b74ae35
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45636/574594
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45636/574594
Bu çalışmada, Türkçe metinlerden duygu çıkarımı alanında kullanılan TREMO veri seti üzerinde farklı makine öğrenmesi algoritmalarının sınıflandırma sonuçları karşılaştırılmıştır. Duygu analizi bir metin sınıflandırma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9718::f244345046aca52ea8658262a3346104
http://hdl.handle.net/20.500.12481/3427
http://hdl.handle.net/20.500.12481/3427
Autor:
Aytug Onan, Mansur Alp Tocoglu
Publikováno v:
IEEE Access, Vol 9, Pp 7701-7722 (2021)
Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction, due to its prevalence on social media data. The purpose of our research is to present an e
Externí odkaz:
https://doaj.org/article/3a0cba0bba3b44b186a1a2bc9a2576e1
Publikováno v:
IEEE Access, Vol 7, Pp 183061-183069 (2019)
Text data analysis of social media is becoming more and more important since it includes the most recent information on what people think about. Likewise, emotion is one of the most valuable parts of human communication, emotion analysis is a type of
Externí odkaz:
https://doaj.org/article/3d1d583faffa4aeb9a982b1e3e3fb06f