pensyarah universiti
pusat kajian teknologi kecerdasan buatan (cait)
ridzwanyaakub@ukm.edu.my
Biografi/ Biography :
An Associate Professor at the Center for Artificial Intelligence and Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (FTSM, UKM). His expertise is Sentiment Analysis/Opinion Mining, and Online Social Networks Analysis. The Head Researcher at Sentiment Analysis Lab, CAIT. In administration, his role is Deputy Dean, Industrial & Community Partnerships Affairs at the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM).
In research, he already involved with more than 22 projects which 12 are still active until now. At this moment, he lead three research projects from diffirent funder such as Regional Cluster for Research and Publication (RCRP) and Fundamental Research Grant Scheme (FRGS). His current researches are mostly in Sentiment Analysis and Social Network Analysis. He also has 10 collaboration grants from various organisation in Malaysia.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). measuring user influence in real-time on twitter using behavioural features. - physica a: statistical mechanics and its applications. 1-21.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). detecting community through user similarity analysis on twitter. - 2024 18th international conference on ubiquitous information management and communication (imcom). 1-6.
zalinda binti othman;mohd ridzwan bin yaakub. (2024). modeling adaptive convolution neural network predictor for data stream issues . - . .
makera moayad aziz, azuraliza abu bakar, mohd ridzwan yaakub. (2024). corenlp dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis. - journal of king saud university - computer and information sciences. 1-20.
syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad. (2024). penyelenggaraan ramalan - menjamin kualiti terbaik. - buletin akses (advancing knowledge for success), ftsm, ukm. 12-13.
mohammad mashrekul kabir, zulaiha ali othman, and mohd ridzwan yaakub. (2024). a hybrid frequency based, syntax, and conditional random field method for implicit and explicit aspect extraction. - ieee access. 72361-72373.
makera moayad aziz, mohd ridzwan yaakub, & azuraliza abu bakar. (2024). incorporating syntax information into attention mechanism vector for improved aspect-based opinion mining. - neural computing and applications. 1-18.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). measuring user influence in real-time on twitter using behavioural features. - physica a: statistical mechanics and its applications. 1-21.
makera moayad aziz, azuraliza abu bakar, mohd ridzwan yaakub. (2024). corenlp dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis. - journal of king saud university - computer and information sciences. 1-20.
fathin faizah said, raja solan somasuntharam, mohd ridzwan yaakub, tamat sarmidi. (2023). impact of google searches and social media on digital assets' volatility. - humanities and social sciences communications. 1-17.
suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub. (2023). disinformation detection about islamic issues on social media using deep learning techniques. - malaysian journal of computer science. 242-270.
amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar. (2020). a new real-time link prediction method based on user community changes in online social networks. - the computer journal. 448-459.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2019). a review of feature selection in sentiment analysis. - intelligent data analysis. 159-189.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2019). ant colony optimization for text feature selection in sentiment analysis. - intelligent data analysis. 133-158.
amin mahmoudi, mohd ridzwan yaakub and azuraliza abu bakar. (2018). new time-based model to identify the influential users in online social networks. - data technologies and applications. 1-13.
makera moayad aziz, mohd ridzwan yaakub, & azuraliza abu bakar. (2024). incorporating syntax information into attention mechanism vector for improved aspect-based opinion mining. - neural computing and applications. 1-18.
makera moayad aziz, azuraliza abu bakar, mohd ridzwan yaakub. (2024). corenlp dependency parsing and pattern identification for enhanced opinion mining in aspect-based sentiment analysis. - journal of king saud university - computer and information sciences. 1-20.
mohammad mashrekul kabir, zulaiha ali othman, and mohd ridzwan yaakub. (2024). a hybrid frequency based, syntax, and conditional random field method for implicit and explicit aspect extraction. - ieee access. 72361-72373.
setiadi, tedy., yaakub, mohd ridzwan., & bakar, azuraliza abu. (2024). strategies for improving the quality of community detection based on modularity optimization. - iaes international journal of artificial intelligence. 1794-1804.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). measuring user influence in real-time on twitter using behavioural features. - physica a: statistical mechanics and its applications. 1-21.
md ahsan ul hasan, azuraliza abu bakar, mohd ridzwan yaakub. (2024). detecting community through user similarity analysis on twitter. - 2024 18th international conference on ubiquitous information management and communication (imcom). 1-6.
norma mohamad nor, noorihan abdul rahman, mohd ridzwan yaakub, zuriani ahmad zukarnain. (2022). sentiment analysis on depression detection: a review. - intelligent computing, sai 2022. 718-726.
nur suhailayani suhaimi, zalinda othman, and mohd ridzwan yaakub. (2022). comparative analysis between macro and micro-accuracy in imbalance dataset for movie review classification. - proceedings of seventh international congress on information and communication technology icict 2022, london. 83-94.
nur suhailayani suhaimi, zalinda othman, mohd ridzwan yaakub. (2020). analyzing prediction performance between wavelet neural network and product-unit neural network. - journal of physics: conference series. 1-9.
mohd ridzwan yaakub, muhammad iqbal abu latiffi, liyana safra zaabar. (2019). a review on sentiment analysis techniques and applications. - international conference on green engineering technology and applied computing. 1-4.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2021). kaedah kejiranan semut untuk pemilihan fitur dalam analisis sentimen. - . 136.
mohd ridzwan yaakub. (2018). sains data penerokaan pengetahuan dari data raya. - . 10.
mohd ridzwan yaakub. (2017). penyelidikan komputeran dalam era revolusi industri 4.0. - . 6.
mohd ridzwan yaakub dan mohd khaizur khairuddin. (2021). kajian sains data dalam analitik kesejahteraan rakyat. - . 25.
mohd ridzwan yaakub. (2018). sains data penerokaan pengetahuan dari data raya. - . 10.
mohd ridzwan yaakub. (2017). penyelidikan komputeran dalam era revolusi industri 4.0. - . 6.
siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub. (2021). kaedah kejiranan semut untuk pemilihan fitur dalam analisis sentimen. - . 136.
syaimak abdul shukor, zalinda othman, azizi abdullah, shahnorbanun sahran, mohd ridzwan yaakub, kerk yi wen, norsamsiah sani, nuramni ashikin anuar, iqraq kamal, sivadas chandra sekaran, mohd faizzuan mohammad. (2024). penyelenggaraan ramalan - menjamin kualiti terbaik. - buletin akses (advancing knowledge for success), ftsm, ukm. 12-13.
zalinda binti othman;mohd ridzwan bin yaakub. (2024). modeling adaptive convolution neural network predictor for data stream issues . - . .
mohd ridzwan bin yaakub;azuraliza binti abu bakar;zalinda binti othman. (2023). sentiment based predictive model for malaysia post-covid 19 tourism industry development. - . .
mohd ridzwan yaakub, muhammad iqbal abu latiffi. (2022). public consultation paper (pcp) analysis. - majalah impak the 4th industrial revolution@ukm. 18.
liew set teng, mohd ridzwan yaakub. (2022). model prediktif berasaskan analisis sentimen untuk malaysia pasca covid-19 pembangunan industri pelancongan. - pta-ftsm-2022-126. 1-15.