prof. madya dr. mohd ridzwan bin yaakub

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.

  • zalinda binti othman;mohd ridzwan bin yaakub.  (2024).  modeling adaptive convolution neural network predictor for data stream issues .  -

     

    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. 

     

    raja solan somasuntharam, fathin faizah said, tamat sarmidi, mohd ridzwan yaakub.  (2023).  impact of twitter and google searches on bitcoin rate of return.  - jurnal ekonomi malaysia.  1-15. 

     

    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. 

     

    tedy setiadi, mohd ridzwan yaakub, and azuraliza abu bakar.  (2023).  community detection methods in library's books and borrowers social network segmentation.  - journal of advances in information technology (jait).  1177-1185. 

     

    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).  a review of fake news detection approaches: a critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion.  - heliyon journal.  1-21. 

     

    suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub.  (2023).  fake news detection model on social media by leveraging sentiment analysis of news content and emotion analysis of users comments.  - sensors.  1-26. 

     

    amin mahmoudi, azuraliza abu bakar, mehdi sookhak, mohd ridzwan yaakub.  (2020).  a temporal user attribute-based algorithm to detect communities in online social networks.  - ieee access.  15436-15438. 

     

    abdollah ansari, ibrahim said ahmad, azuraliza abu bakar and mohd ridzwan yaakub.  (2020).  a hybrid metaheuristic method in training artificial neural network for bankruptcy prediction.  - ieee access.  17664-17665. 

     

    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. 

     

    raja solan somasuntharam, fathin faizah said, tamat sarmidi, mohd ridzwan yaakub.  (2023).  effect of covid-19 sentiment on financial markets: evidence from s&p 500 and bitcoin.  - jurnal ekonomi malaysia.  1-15. 

     

    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. 

     

    raja solan somasuntharam, fathin faizah said, tamat sarmidi, mohd ridzwan yaakub.  (2023).  impact of twitter and google searches on bitcoin rate of return.  - jurnal ekonomi malaysia.  1-15. 

     

    tedy setiadi, mohd ridzwan yaakub, and azuraliza abu bakar.  (2023).  community detection methods in library's books and borrowers social network segmentation.  - journal of advances in information technology (jait).  1177-1185. 

     

    suhaib kh hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub.  (2023).  a review of fake news detection approaches: a critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion.  - heliyon journal.  1-21. 

     

    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. 

     

    filzah zahilah mohamed zaki, su luan wong, mohd ridzwan yaakub.  (2019).  a review of common features in computational thinking frameworks in k-12 education.  - international conference on green engineering technology and applied computing.  1-5. 

     

    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.