Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Muhammad Okky Ibrohim"'
Autor:
Muhammad Okky Ibrohim, Indra Budi
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18647- (2023)
Nowadays Hate Speech and Abusive Language (HSAL) have spread extensively over social media. The easy use of social media allows people to abuse the media to spread HSAL. Hate speech and abusive language in social media must be detected because they c
Externí odkaz:
https://doaj.org/article/16d57609e84841eab03d3a6b7a4cae4e
Autor:
Nana Mulyana Maghfur, Muhammad Okky Ibrohim, Junaedi Fahmi, Achmad Satria Putera, Oskar Riandi
Publikováno v:
2021 4th International Conference of Computer and Informatics Engineering (IC2IE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee56edfc7424d946fe32f76e9010429
https://doi.org/10.1109/ic2ie53219.2021.9649417
https://doi.org/10.1109/ic2ie53219.2021.9649417
Publikováno v:
Proceedings of 2021 the 11th International Workshop on Computer Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31b9c98e86c9f3ecbaa94e2b3f3c833
https://doi.org/10.18178/wcse.2021.02.011
https://doi.org/10.18178/wcse.2021.02.011
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030797560
In social media, people are free to express their feelings and thoughts. However, people can also use abusive language and hate speech to insult or humiliate individuals or groups on social media, such as Twitter. Various detection methods have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b4687990aa76f58a5ab10e2ce8de2ff
https://doi.org/10.1007/978-3-030-79757-7_9
https://doi.org/10.1007/978-3-030-79757-7_9
Autor:
Rike Adelia, Hanina Nuralifa Zahra, Fandy Akhmad Nur Febryanto, Oskar Riandi, Junaedi Fahmi, Muhammad Okky Ibrohim
Publikováno v:
2020 Fifth International Conference on Informatics and Computing (ICIC).
These days, human-computer interactions develop in an alarmingly fast rate. To keep up with this development, one of many things to be advanced is machine's capability of recognizing human emotions through speech, or simply put, Speech Emotion Recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f157dbaaa421f1ed52209686ffdd5d
https://doi.org/10.1109/icic50835.2020.9288650
https://doi.org/10.1109/icic50835.2020.9288650
Autor:
Muhammad Okky Ibrohim, Bagus Fajar Apriyanto, Nadhia Salsabila Azzahra, Oskar Riandi, Junaedi Fahmi
Publikováno v:
2020 Fifth International Conference on Informatics and Computing (ICIC).
Named-Entity Recognition (NER) is a task that extracts the entity information from dataset into several different entity classes. Most of current NER research train the NER model from structured data such as news and Wikipedia article. Whereas, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ad1cd838dd474a6b782694728215375
https://doi.org/10.1109/icic50835.2020.9288566
https://doi.org/10.1109/icic50835.2020.9288566
Publikováno v:
2020 8th International Conference on Information and Communication Technology (ICoICT).
The existence of social media causes side effects from freedom of speech to freedom to hate. People can spread hate speech with creative ways to avoid the hate speech detector. Implicit intends used using many codes. The purpose of using these codes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aa3196149be96049f236dc215b5b507
https://doi.org/10.1109/icoict49345.2020.9166251
https://doi.org/10.1109/icoict49345.2020.9166251
Publikováno v:
SemEval@COLING
In this paper, we present our approach and the results of our participation in OffensEval 2020. There are three sub-tasks in OffensEval 2020 namely offensive language identification (sub-task A), automatic categorization of offense types (sub-task B)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ac9f868f73c5b34b8b514ea54fcb1af
https://doi.org/10.18653/v1/2020.semeval-1.263
https://doi.org/10.18653/v1/2020.semeval-1.263
Publikováno v:
SemEval@COLING
In this paper, we present the result of our experiment with a variant of 1 Dimensional Convolutional Neural Network (Conv1D) hyper-parameters value. We describe the system entered by the team of Information Retrieval Lab. Universitas Indonesia (3218I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb3fbe5fc76eee0651d43d57c2d745e
https://doi.org/10.18653/v1/2020.semeval-1.225
https://doi.org/10.18653/v1/2020.semeval-1.225
Autor:
Indra Budi, Muhammad Okky Ibrohim
Publikováno v:
Procedia Computer Science. 135:222-229
Abusive language is an expression (both oral or text) that contains abusive/dirty words or phrases both in the context of jokes, a vulgar sex conservation or to cursing someone. Nowadays many people on the internet (netizens) write and post an abusiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e963d1aecb18bc26c359234c899c10cf
https://doi.org/10.1016/j.procs.2018.08.169
https://doi.org/10.1016/j.procs.2018.08.169