OpenAlex 1,380 works 60 author topics
Works
1,380 works
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OpenAlex top 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 Q2
JCR Q3
OpenAlex top 10%
OpenAlex 96.6%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q2
OpenAlex top 1%
OpenAlex 99.3%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.8%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.8%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 1%
OpenAlex 99.7%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q1
OpenAlex top 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 top 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 top 1%
OpenAlex 99.8%
No abstract yet.
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YÖKSİS
SJR Q1
JCR Q2
OpenAlex top 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 Q2
OpenAlex top 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 top 10%
OpenAlex 93.2%
No abstract yet.
Academicians
60 academicians
- AYTUĞ ONAN 33 author topics
- TUNGA GÜNGÖR 22 author topics
- PINAR KARAGÖZ 17 author topics
- SAVAŞ YILDIRIM 16 author topics
- HAYRİ SEVER 14 author topics
- EBRU SEZER 12 author topics
- METİN TURAN 11 author topics
- BAHAR KARAOĞLAN 10 author topics
- ÖNDER ÇOBAN 10 author topics
- SAFİYE AYŞE GÖKER MYRHAUG 10 author topics
- TUĞBA DALYAN 10 author topics
- OĞUZ KAYNAR 9 author topics