Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Nazife Dimililer"'
Publikováno v:
IEEE Access, Vol 9, Pp 115115-115125 (2021)
Social media sites, which became central to our everyday lives, enable users to freely express their opinions, feelings, and ideas due to a certain level of depersonalization and anonymity they provide. If there is no control, these platforms may be
Externí odkaz:
https://doaj.org/article/21b7f0b1ada24def946595864a76ed90
Autor:
MONA ALJERO, NAZİFE DİMİLİLER
Publikováno v:
Turkish Journal of Electrical Engineering and Computer Sciences. 31:180-192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3137dcfba84754f480f364b907528f3
https://doi.org/10.55730/1300-0632.3978
https://doi.org/10.55730/1300-0632.3978
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11684 (2021)
Detecting harmful content or hate speech on social media is a significant challenge due to the high throughput and large volume of content production on these platforms. Identifying hate speech in a timely manner is crucial in preventing its dissemin
Externí odkaz:
https://doaj.org/article/34273e9c769c488286dc07aa1447de7f
Publikováno v:
Turkish Journal of Electrical Engineering and Computer Sciences. 30:2237-2253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93fcb92727277fe0d50e0c5cc285a5f5
https://doi.org/10.55730/1300-0632.3936
https://doi.org/10.55730/1300-0632.3936
Publikováno v:
Journal of the Chinese Institute of Engineers. 44:562-572
Sentiment Analysis has emerged as one of the most challenging and significant research directions in text mining. The first milestone of Sentiment Analysis involves identifying the polarity of sent...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a60b7917f26186d7b4892c1995295778
https://doi.org/10.1080/02533839.2021.1933598
https://doi.org/10.1080/02533839.2021.1933598
Publikováno v:
Journal of Applied Science and Technology Trends. 1:31-39
The quantity of data published on the Web according to principles of Linked Data (LD) is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand LD technologies. Therefore, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57c1dc17e70a637699005cd5a0b8d664
https://doi.org/10.38094/jastt1214
https://doi.org/10.38094/jastt1214
Publikováno v:
Volume: 28, Issue: 2 1179-1196
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
Biomedical relation extraction is an important preliminary step for knowledge discovery in the biomedical domain. This paper proposes a multiple classifier system MCS for the extraction of chemical-induced disease relations. A genetic algorithm GA is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790ecf3ef7c73b197fdb0526d74f3c24
https://doi.org/10.3906/elk-1906-46
https://doi.org/10.3906/elk-1906-46
Publikováno v:
2020 International Conference on Advanced Science and Engineering (ICOASE).
There has been a steep increase in the use of social media in our everyday lives in recent years. Along with this, there has been an increase in hate speech disseminated on these platforms, due to the anonymity of the users as well as the ease of use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda5fc5c9a34fe78fb7268ff4e13b7ff
https://doi.org/10.1109/icoase51841.2020.9436621
https://doi.org/10.1109/icoase51841.2020.9436621
Publikováno v:
2020 International Conference on Advanced Science and Engineering (ICOASE).
Sentiment analysis extracts the emotions expressed in text and has been employed in many fields including politics, elections, movies, retail businesses and in recent years microblogs to understand, track and control the human sentiments or reactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0acc63d9bec8b22e422dae2fe46198
https://doi.org/10.1109/icoase51841.2020.9436590
https://doi.org/10.1109/icoase51841.2020.9436590
Publikováno v:
Applied Intelligence. 48:1965-1978
The class imbalance problem is a key factor that affects the performance of many classification tasks when using machine learning methods. This mainly refers to the problem where the number of samples in certain classes is much greater than in others
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0527985014324940458edc3f87998150
https://doi.org/10.1007/s10489-017-0920-5
https://doi.org/10.1007/s10489-017-0920-5