OpenAlex 1.153 eser 61 yazar konusu
Çalışmalar
1.153 eser
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OpenAlex üst %1
OpenAlex 99.9%
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, Gülşen Eryiği…
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YÖKSİS
SJR Q1
JCR Q2
OpenAlex üst %1
OpenAlex 99.3%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %1
OpenAlex 99.8%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %1
OpenAlex 99.8%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %1
OpenAlex 99.7%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %1
OpenAlex 99.8%
Online social and news media generate rich and timely information about real-world events of all kinds. However, the huge amount of data available, along with the breadth of the user base, requires a substantial effort of information filtering to successfully drill down to relevant topics and events. Trending topic de…
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Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks 2021YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %1 OpenAlex 99.9%
Summary Sentiment analysis is one of the major tasks of natural language processing, in which attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted. Web is an unstructured and rich source of information containing many text documents with opinions and reviews. The recognition of se…
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OpenAlex üst %1
OpenAlex 99.8%
Özet henüz yok.
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YÖKSİS
SJR Q1
JCR Q2
OpenAlex üst %1
OpenAlex 99.9%
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 effective sarcasm identification framework on social media data by pur…
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex üst %10
OpenAlex 93.6%
Özet henüz yok.
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OpenAlex üst %1
OpenAlex 99.5%
Abstract Student evaluations of teaching (SET) provides potentially essential source of information to achieve educational quality objectives of higher educational institutions. The findings can be utilized as a measure of teaching effectiveness and they may aid the administrative decision‐making process. The purpose…
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OpenAlex üst %1
OpenAlex 99.6%
Özet henüz yok.
Akademisyenler
61 akademisyen
- AYTUĞ ONAN 33 yazar konusu
- TUNGA GÜNGÖR 22 yazar konusu
- PINAR KARAGÖZ 17 yazar konusu
- SAVAŞ YILDIRIM 16 yazar konusu
- HAYRİ SEVER 14 yazar konusu
- EBRU SEZER 12 yazar konusu
- METİN TURAN 11 yazar konusu
- BAHAR KARAOĞLAN 10 yazar konusu
- ÖNDER ÇOBAN 10 yazar konusu
- SAFİYE AYŞE GÖKER MYRHAUG 10 yazar konusu
- TUĞBA DALYAN 10 yazar konusu
- OĞUZ KAYNAR 9 yazar konusu