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. 

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. 

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. 

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. 

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. 

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. 

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. 

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. 

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. 

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. 

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 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.  - .  . 

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

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.  - .  .