Showing 1 to
8 of 8 entries
1.
Lai Po Hung , Suaini Binti Sura
(2025)
, Harnessing Bert For Semantic Understanding In Tourism Recommendation Engines
2.
Suaini Binti Sura , Lai Po Hung
(2025)
, Improving The Accuracy Of Tourism Recommendation System Based On Neural Collaborative Filtering
3.
Lai Po Hung , Suraya Binti Alias
(2025)
, A Hybrid Contextual Embedding Based Clustering And Classification Technique For Unsupervised Implicit Aspect Categorization In Indonesian Reviews
4.
Lai Po Hung , Suraya Binti Alias
(2024)
, Trends And Challenges In Sentiment Summarization: A Systematic Review Of Aspect Extraction Techniques
5.
Lai Po Hung , James Mountstephens
(2023)
, Bilingual Sentiment Analysis On Malaysian Social Media Using Vader And Normalisation Heuristics
6.
Lai Po Hung , Suraya Binti Alias
(2023)
, Beyond Sentiment Analysis : A Review Of Recent Trends In Text Based Sentiment Analysis And Emotion Detection
7.
Suraya Binti Alias , Lai Po Hung
(2023)
, Beyond Sentiment Analysis: A Review Of Recent Trends In Text Based Sentiment Analysis And Emotion Detection
8.
Lai Po Hung , James Mountstephens
(2023)
, Bilingual Sentiment Analysis On Malaysian Social Media Using Vader And Normalisation Heuristics
Showing 11 to
14 of 14 entries
11.
Lai Po Hung , Suraya Binti Alias
(2024)
, A Contextual Embedding Clustering Technique For Aspect Categorization In Review Data
12.
Suaini Binti Sura , Lai Po Hung
(2023)
, Sentiment Analysis Using Naive Bayes For Reviews Of Visitors To Padang City Beach Tourism After The Covid-19 Pandemic
13.
Lai Po Hung , Suaini Binti Sura
(2023)
, Empowerment Of Msme Crafts Recommendation System With Content-based Filtering Method On Social Commerce After The Pandemic
14.
Lai Po Hung
(2023)
, Driver-drowsiness Detection System Using Deep Learning (cnn)
Showing 1 to
2 of 2 entries
1.
Lai Po Hung , Suraya Binti Alias
(2024)
, Multi-aspect Extraction In Indonesian Reviews Through Multi-label Classification Using Pre-trained Bert Models
2.
Lai Po Hung
(2024)
, Cyberbully Detection By Using Machine Learning
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