prof. madya dr. mohd ridzwan bin yaakub

pensyarah universiti

pusat penyelidikan teknologi kecerdasan buatan (cait)

No. Telefon Rasmi :  0389216757

No. rasmi:
UKM : 03 8921 5555



   Biografi/ Biography :

  • A Ph.D. holder from Queensland University of Technology (QUT), Australia in Sentiment Analysis (2015) is also currently the Head Researcher at Sentiment Analysis Lab, CAIT. His expertise is in Sentiment Analysis/Opinion Mining, Feature Selection, Feature Extraction, Ontology , Data Mining, and Social Network Analysis (SNA). In 2016, together with his mentors, Emiritus Professor Dr Abdul Razak Hamdan and Prof Dr Azuraliza Abu Bakar, he has started Master of Data Science program in UKM, which is the first in Malaysia. 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.

  • mohd ridzwan yaakub, muhammad iqbal abu latiffi.  (2022).  public consultation paper (pcp) analysis.  - majalah impak the 4th industrial revolution@ukm.  18. 

     

    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. 

     

    muhammad iqbal abu latiffi, mohd ridzwan yaakub, ibrahim said ahmad.  (2022).  flower pollination algorithm for feature selection in tweets sentiment analysis.  - (ijacsa) international journal of advanced computer science and applications.  429-436. 

     

    nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub.  (2022).  modified convolutional neural network filter gate for social media text classification.  - international journal of computer science and network security.  617-627. 

     

    mohd ridzwan bin yaakub;amelia natasya binti abdul wahab;rossilawati binti sulaiman;azrulhizam bin shapi`i;afzan binti adam;akmal bin aris;nor samsiah binti sani.  (2022).  targeted online and social media based on sentiment analysis for electoral boundaries.  -

     

    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. 

     

    ibrahim ahmad said, azuraliza abu bakar, mohd ridzwan yaakub.  (2020).  movie revenue prediction based on purchase intention mining using youtube trailer reviews.  - information processing and management.  1-15. 

     

    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. 

     

    amin mahmoudi, mohd ridzwan yaakub, azuraliza abu bakar..  (2019).  the relationship between online social network ties and user attributes.  - acm transactions on knowledge discovery from data.  1-15. 

     

    jamilu awwalu, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  hybrid n-gram model using naive bayes for classification of political sentiments on twitter.  - neural computing & applications.  9207-9220. 

     

    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).  ant colony optimization for text feature selection in sentiment analysis.  - intelligent data analysis.  133-158. 

     

    siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  a review of feature selection in sentiment analysis.  - intelligent data analysis.  159-189. 

     

    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. 

     

    siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub, nurhafizah moziyana mohd yusop, muslihah wook, arniyati ahmad.  (2018).  product feature ranking and popularity model based on sentiment comments.  - international journal of advanced computer science and applications. 

     

    muhammad iqbal abu latiffi, mohd ridzwan yaakub, ibrahim said ahmad.  (2022).  flower pollination algorithm for feature selection in tweets sentiment analysis.  - (ijacsa) international journal of advanced computer science and applications.  429-436. 

     

    nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub.  (2022).  modified convolutional neural network filter gate for social media text classification.  - international journal of computer science and network security.  617-627. 

     

    fathin faizah said, sharifah nur ainn syed roslan, mohd azlan shah zaidi, mohd ridzwan yaakub.  (2021).  a probe into the status of the oil palm sector in the malaysian value chain.  - economies.  1-24. 

     

    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. 

     

    ibrahim ahmad said, azuraliza abu bakar, mohd ridzwan yaakub.  (2020).  movie revenue prediction based on purchase intention mining using youtube trailer reviews.  - information processing and management.  1-15. 

     

    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. 

     

    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. 

     

    s.n.h.s. abdullah, w.f. fauzi, m.n. sudin, n.n. zahari, z. a. rahman, a.ismail, n. r. m. suradi, a.s. rambely, n. sarnon, a. h. shaari, s. samrun, n. arsad, m.h.m. saad, m. mohd, m. ayob, k.v. jyn, k. a. z. nazri, r. yaakub, ariffin,m.z.a.na.  (2018).  assessment of self-identity among teens towards self-crime prevention program.  - cyber resilience conference 2018. 

     

    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. 

     

    fathin faizah binti said;mohd azlan shah bin zaidi;mohd ridzwan bin yaakub.  (2022).  exploring typology structures of global value chain and production networks of palm oil industry.  -

     

    mohd ridzwan yaakub, muhammad iqbal abu latiffi.  (2022).  public consultation paper (pcp) analysis.  - majalah impak the 4th industrial revolution@ukm.  18. 

     

    mohd ridzwan bin yaakub;azuraliza binti abu bakar.  (2022).  eksplorasi sains data.  -

     

    mohd ridzwan bin yaakub;amelia natasya binti abdul wahab;rossilawati binti sulaiman;azrulhizam bin shapi`i;afzan binti adam;akmal bin aris;nor samsiah binti sani.  (2022).  targeted online and social media based on sentiment analysis for electoral boundaries.  -

     

    fathin faizah binti said;tamat bin sarmidi;mohd ridzwan bin yaakub.  (2022).  investor sentiment on the covid-19 outbreak and its effects on the stock market volatility.  -

     
    prof. madya dr. mohd ridzwan bin yaakub

    pensyarah universiti

    pusat kajian teknologi kecerdasan buatan (cait)

     ridzwanyaakub@ukm.edu.my

    No. Telefon Rasmi :  6757

    No. rasmi:
    UKM : 03 8921 5555



       Biografi/ Biography :

  • PENSYARAH UNIVERSITI

  • mohd ridzwan yaakub, muhammad iqbal abu latiffi.  (2022).  public consultation paper (pcp) analysis.  - majalah impak the 4th industrial revolution@ukm.  18. 

     

    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. 

     

    muhammad iqbal abu latiffi, mohd ridzwan yaakub, ibrahim said ahmad.  (2022).  flower pollination algorithm for feature selection in tweets sentiment analysis.  - (ijacsa) international journal of advanced computer science and applications.  429-436. 

     

    nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub.  (2022).  modified convolutional neural network filter gate for social media text classification.  - international journal of computer science and network security.  617-627. 

     

    mohd ridzwan bin yaakub;amelia natasya binti abdul wahab;rossilawati binti sulaiman;azrulhizam bin shapi`i;afzan binti adam;akmal bin aris;nor samsiah binti sani.  (2022).  targeted online and social media based on sentiment analysis for electoral boundaries.  -

     

    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. 

     

    ibrahim ahmad said, azuraliza abu bakar, mohd ridzwan yaakub.  (2020).  movie revenue prediction based on purchase intention mining using youtube trailer reviews.  - information processing and management.  1-15. 

     

    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. 

     

    amin mahmoudi, mohd ridzwan yaakub, azuraliza abu bakar..  (2019).  the relationship between online social network ties and user attributes.  - acm transactions on knowledge discovery from data.  1-15. 

     

    jamilu awwalu, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  hybrid n-gram model using naive bayes for classification of political sentiments on twitter.  - neural computing & applications.  9207-9220. 

     

    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).  ant colony optimization for text feature selection in sentiment analysis.  - intelligent data analysis.  133-158. 

     

    siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2019).  a review of feature selection in sentiment analysis.  - intelligent data analysis.  159-189. 

     

    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. 

     

    siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub, nurhafizah moziyana mohd yusop, muslihah wook, arniyati ahmad.  (2018).  product feature ranking and popularity model based on sentiment comments.  - international journal of advanced computer science and applications. 

     

    muhammad iqbal abu latiffi, mohd ridzwan yaakub, ibrahim said ahmad.  (2022).  flower pollination algorithm for feature selection in tweets sentiment analysis.  - (ijacsa) international journal of advanced computer science and applications.  429-436. 

     

    nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub.  (2022).  modified convolutional neural network filter gate for social media text classification.  - international journal of computer science and network security.  617-627. 

     

    fathin faizah said, sharifah nur ainn syed roslan, mohd azlan shah zaidi, mohd ridzwan yaakub.  (2021).  a probe into the status of the oil palm sector in the malaysian value chain.  - economies.  1-24. 

     

    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. 

     

    ibrahim ahmad said, azuraliza abu bakar, mohd ridzwan yaakub.  (2020).  movie revenue prediction based on purchase intention mining using youtube trailer reviews.  - information processing and management.  1-15. 

     

    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. 

     

    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. 

     

    s.n.h.s. abdullah, w.f. fauzi, m.n. sudin, n.n. zahari, z. a. rahman, a.ismail, n. r. m. suradi, a.s. rambely, n. sarnon, a. h. shaari, s. samrun, n. arsad, m.h.m. saad, m. mohd, m. ayob, k.v. jyn, k. a. z. nazri, r. yaakub, ariffin,m.z.a.na.  (2018).  assessment of self-identity among teens towards self-crime prevention program.  - cyber resilience conference 2018. 

     

    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. 

     

    fathin faizah binti said;mohd azlan shah bin zaidi;mohd ridzwan bin yaakub.  (2022).  exploring typology structures of global value chain and production networks of palm oil industry.  -

     

    mohd ridzwan yaakub, muhammad iqbal abu latiffi.  (2022).  public consultation paper (pcp) analysis.  - majalah impak the 4th industrial revolution@ukm.  18. 

     

    mohd ridzwan bin yaakub;azuraliza binti abu bakar.  (2022).  eksplorasi sains data.  -

     

    mohd ridzwan bin yaakub;amelia natasya binti abdul wahab;rossilawati binti sulaiman;azrulhizam bin shapi`i;afzan binti adam;akmal bin aris;nor samsiah binti sani.  (2022).  targeted online and social media based on sentiment analysis for electoral boundaries.  -

     

    fathin faizah binti said;tamat bin sarmidi;mohd ridzwan bin yaakub.  (2022).  investor sentiment on the covid-19 outbreak and its effects on the stock market volatility.  -