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).  disinformation detection about islamic issues on social media using deep learning techniques.  - malaysian journal of computer science.  242-270. 

suhaib kh. hamed, mohd juzaiddin ab aziz, mohd ridzwan yaakub.  (2023).  a review of fake news detection models: highlighting the factors affecting model performance and the prominent techniques used.  - international journal of advanced computer science and applications.  379-390. 

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. 

mohammad mashrekul kabir, zulaiha ali othman, mohd ridzwan yaakub, sabrina tiun.  (2023).  hybrid syntax dependency with lexicon and logistic regression for aspect-based sentiment analysis.  - international journal of advanced computer science and applications.  797-804. 

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. 

mohd ridzwan bin yaakub;azuraliza binti abu bakar;zalinda binti othman.  (2023).  sentiment based predictive model for malaysia post-covid 19 tourism industry development.  - .  . 

nur suhailayani suhaimi1 , zalinda othman2 , mohd ridzwan yaakub3.  (2022).  comparative analysis between binary classification and multi-class classification of sentiment analysis by using convolution neural network with text filtering gates.  - data analytics and optimisation 2022.  62-67. 

mohammad mashrekul kabir, zulaiha ali othman, mohd ridzwan yaakub.  (2022).  hybrid dependency parsing, lexicon (and logistic regression) for aspect based sentiment analysis.  - laporan teknik ftsm.  1-16. 

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.  - .  . 

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

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.  - .  . 

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. 

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

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, 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. 

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. 

tan jing xuan, mohd ridzwan yaakub.  (2022).  analisis sentimen pilihan raya umum malaysia ke 15 pada sosial media.  - pta-ftsm-2022-100.  1-25. 

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. 

hasnan othman, mohd ridzwan yaakub.  (2022).  implementing bert with ktrain library for sentiment analysis.  - journal of visual language and computing.  26-34. 

md ahsan ul hasan, azuraliza abu bakar mohd ridzwan yaakub, nor samsiah sani.  (2022).  defining meaningful communities in online social networks: a systematic literature review.  - data analytics and optimisation seminar (daos 2022).  80-85. 

zalinda binti othman;mohd ridzwan bin yaakub;ahmad tarmizi bin abdul ghani.  (2021).  uncertain time series data analytics in solving monitoring systems errors.  - .  . 

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. 

fathin faizah binti said;tamat bin sarmidi;mohd ridzwan bin yaakub.  (2021).  volatility estimation for digital currency: medium of exchange or speculative assets?.  - .  . 

farah shafawati taib;mohd ridzwan bin yaakub;haryanti binti mohd affandi.  (2021).  nurturing nature education among early childhood empower future generation.  - .  . 

liyana safra zaabar, mohd ridzwan yaakub, muhammad iqbal abu latiffi.  (2021).  combination of lexicon based and machine learning techniques in the development of political tweet sentiment analysis model.  - international conference on engineering technology (icet) 2021,.  100. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2021).  kaedah kejiranan semut untuk pemilihan fitur dalam analisis sentimen.  - .  136. 

mohd ridzwan yaakub, muhammad iqbal abu latiffi, aiman hasni zazani, mariah abdul rahman, liyana safra zaabar.  (2021).  sharity apps - your community assistance.  - utemex virtual 2021.  1. 

mohammad mashrekul kabir, zulaiha ali othman and mohd ridzwan yaakub.  (2021).  aspect based sentiment analysis on hotel review.  - seminar data analytic and optimization, daos2021.  23-28. 

nur suhailayani suhaimi, zalinda othman, mohd. ridzwan yaakub.  (2021).  data stream input filtering by using dynamic framing of convolutional neural network.  - data analytics and optimization daos 2021.  109-114. 

mohd ridzwan yaakub dan mohd khaizur khairuddin.  (2021).  kajian sains data dalam analitik kesejahteraan rakyat.  - .  25. 

afzan adam, norsamsiah sani, siti norul huda sheikh abdullah, abdul razak hamdan, mohd zakre ahmad nazri, mohd ridzwan yaakob.  (2020).  knowledge representation (ai): semantic.  - .  1. 

afzan adam, norsamsiah sani, siti norul huda sheikh abdullah, abdul razak hamdan, mohd zakre ahmad nazri, mohd ridzwan yaakob.  (2020).  knowledge representation (ai): rules.  - .  1. 

mohd ridzwan bin yaakub.  (2020).  the skillz.  - data raya & ai dalam pendidikan.  . 

noh bin amit;rozmi bin ismail;normah bt. che din;mohd ridzwan bin yaakub;norhayati binti ibrahim;ramalinggam a/l a.rajamanickam;nurbazla binti ismail;mohammad rahim bin kamaluddin;tengku elmi azlina binti tengku muda.  (2020).  understanding of indebtedness, psychological conditions, job performance and attitudes toward seeking psychological help among low income young adults in malaysia by using mixed-method approach.  - .  . 

norefrina shafinaz binti md nor;nazlina bt. ibrahim;mohd ridzwan bin yaakub;syamsa rizal bin abdullah;herryawan ryadi bin eziwar dyari;muhammad arif bin yahya;mohammad rahim bin kamaluddin;jaya kumar a/l murthy.  (2020).  combating blooming community of anti-vaccination through education intervention among university student in malaysia.  - .  . 

mohd ridzwan bin yaakub;azuraliza binti abu bakar;azrulhizam bin shapi`i;norefrina shafinaz binti md nor;noh bin amit;haryanti binti mohd affandi;tengku elmi azlina binti tengku muda.  (2020).  persepsi guru terhadap penggunaan ict bagi kelas pra sekolah.  - .  . 

mohd ridzwan bin yaakub.  (2020).  analisis sentimen : penambahbaikan teknik pengekstrakan fitur berasaskan ontologi dan persamaan kata..  - .  . 

aladeen y. r. hmoud, juhana salim and mohd ridzwan yaakub.  (2020).  platformisation of mobile operators business model: a proposition using design science approach and grounded theory principles.  - international journal on advanced science, engineering and information technology.  473-484. 

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 said ahmad, azuraliza abu bakar, mohd ridzwan yaakub, shamsuddeen hassan muhammad.  (2020).  machine learning techniques in movie revenue prediction: a systematic review.  - sn computer science.  1-14. 

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. 

mohd ridzwan bin yaakub.  (2020).  program pensijilan profesional sains data.  - advancing knowledge for success (akses).  30. 

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. 

ibrahim said ahmad, azuraliza abu bakar, mohd ridzwan yaakub, mohammad darwich.  (2020).  beyond sentiment classification: a novel approach for utilizing social media data for business intelligence.  - international journal of advanced computer science and applications.  437-441. 

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. 

filzah zahilah mohamed zaki, su luang wong & mohd ridzwan yaakub.  (2019).  a review of computational thinking frameworks in k-12 education.  - international conference on green engineering & technology (icongetech) & international conference on applied computing (icac2019).  138. 

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. 

ibrahim said ahmad, azuraliza abu bakar and mohd ridzwan yaakub.  (2019).  a review of feature selection in sentiment analysis using information gain and domain specific ontology.  - international journal of advanced computer research.  283-292. 

mohd ridzwan bin yaakub, muhammad iqbal abu latiffi & liyana safra zaabar.  (2019).  a review on sentiment analysis techniques and applications.  - international conference on green engineering & technology (icongetech) & international conference on applied computing (icac2019).  145. 

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.  (2019).  a review of feature selection in sentiment analysis.  - intelligent data analysis.  159-189. 

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. 

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. 

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. 

assi rosdi & mohd ridzwan yaakub.  (2018).  sistem pengurusan ban darah.  - pta-ftsm-2018-144.  . 

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.  . 

maggery roxane dennis & mohd ridzwan yaakub.  (2018).  sistem e-pelaporan pemantauan laman web jabatan standard malaysia.  - pta-ftsm-2018-161.  . 

amin mahmoudi, mohd ridzzwan yaakub, azuraliza abu bakar.  (2018).  a new method to discretize time to identify the milestones of online social networks.  - social network analysis and mining..  . 

azrulhizam shapi'i, noor atifah abd rahman, mohd syazwan baharuddin, mohd ridzwan yaakub.  (2018).  interactive games using hand-eye coordination method for autistic children therapy.  - international journal on advanced science, engineering and information technology.  . 

mohd ridzwan yaakub.  (2018).  sains data penerokaan pengetahuan dari data raya.  - .  10. 

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.  . 

azhar mohd khairy, afzan adam, mohd ridzwan yaakub.  (2018).  data analytics in malaysian education system: revealing the success of sijil pelajaran malaysia from ujian aptitud sekolah rendah.  - asia-pacific journal of information technology and multimedia.  . 

suhaila binti zainudin;noraidah bt. sahari @ ashaari;siti fadzilah binti mat noor;tengku siti meriam binti tengku wook;masnizah binti mohd;mohd ridzwan bin yaakub;hazura binti mohamed;azuraliza binti abu bakar.  (2018).  meramal sentimen umum tehadap ukm menerusi media sosial.  - .  . 

muhammad iqbal abu latiffi, mohd ridzwan yaakub.  (2018).  sentiment analysis: an enhancement of ontological- based using hybrid machine learning techniques.  - asia-pacific journal of information technology and multimedia.  . 

syed hafiz syed haniffa & mohd ridzwan yaakub.  (2018).  sistem tempahan fasiliti, peralatan sukan dan penginapan di universiti kebangsaan malaysia, aplikasi e-sewa ukm.  - pta-ftsm-2018-151.  . 

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. 

abdul rahim fuad & mohd ridzwan yaakub.  (2017).  pembangunan sistem pengidentifikasi dan antibiotik mikroorganisma.  - .  . 

aladeen y.r. hmoud, juhana salim, mohd ridzwan yaakub.  (2017).  a two-sided market mechanisms toward designing a big data-driven business model for mobile network operators (mnos).  - journal of telecommunication electronic and computer engineering.  105-110. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub,nurhafizah moziyana mohd yusop1.  (2017).  statistical validation of aco-knn algorithm for sentiment analysis.  - journal of telecommunication, electronic and computer engineering.  165-170. 

mohd ridzwan yaakub.  (2017).  penyelidikan komputeran dalam era revolusi industri 4.0.  - .  6. 

nurul firzana zainal rashid & mohd ridzwan yaakub.  (2017).  sistem pencarian fauna menggunakan kata kunci berasaskan ciri-ciri fauna (ukmfauna).  - .  . 

mohd ridzwan yaakub.  (2017).  analisa sentimen bagi penilaian produk.  - kolokium penerokaan data raya kulturomik malaysia 2017.  . 

siti zulaikha ab aziz & mohd ridzwan yaakub.  (2017).  sistem pencarian hadith menggunakan ciri asas kata kunci dan kategori.  - .  . 

siti rohaidah ahmad , mohd ridzwan yaakub, azuraliza abu bakar.  (2016).  detecting relationship between features and sentiment words using hybrid of typed dependency relations layer and pos tagging (tdr layer pos tags) algorithm.  - the 3rd international multi-conference on artificial intelligence technology (m-cait 2016).  . 

shakir mahmood jasim, azuraliza abu bakar, mohd ridzwan yaakub.  (2016).  feature selection approach based on genetic algorithm using opinion mining dataset.  - negative associative clas.  . 

siti rohaidah ahmad, mohd ridzwan yaakub, azuraliza abu bakar.  (2016).  detecting relationship between features and sentiment words using yybrid of typed dependency relations layer and pos tagging (tdr layer pos tags) algorithm.  - international journal on advanced science, engineering and information technology (ijaseit).  1120-1126. 

nur farahin abdul rahim & mohd ridzwan yaakub.  (2016).  a review of techniques used in sentiment analysis.  - pengukuran keberkesanan i.  . 

jamilu awwalu, azuraliza abu bakar, mohd ridzwan yaakub.  (2015).  detection and polarization of political sentiments on twitter.  - international journal of applied engineering research.  41794-41799. 

dian indrayani jambari, umi asma` mokhtar, hana yasmein ishak, mohd ridzwan yaakub.  (2015).  information technology graduate employability enhancement model: case study in the faculty of information science and technology, universiti kebangsaan malaysia.  - asia-pacific journal of information technology and multimedia.  57-68. 

noridah yahya dan mohd ridzwan yaakub.  (2015).  rangka kerja crm dengan elemen sosiologi : keamatan(intensity), timbal balik(reciprocal), kemesraan, masa.  - .  . 

abdullah s. ghareb; abdul razak hamdan; azuraliza abu bakar; mohd ridzwan yaakub.  (2015).  hybrid statistical rule-based classifier for arabic text mining.  - journal of theoretical and applied information technology.  194-204. 

siti rohaidah ahmad, azuraliza abu bakar, mohd ridzwan yaakub.  (2015).  metaheuristic algorithms for feature selection in sentiment analysis.  - science and information conference.  222-226.