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Your search keyword '"Lim, Wei Lun"' showing total 28 results
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28 results on '"Lim, Wei Lun"'

2. Fusing location and text features for sentiment classification

Author

Lim, Wei Lun, Ho, Chiung Ching, and Ting, Choo-Yee

Subjects
Computer Science - Social and Information Networks, Computer Science - Computation and Language, Computer Science - Information Retrieval
Abstract

Geo-tagged Twitter data has been used recently to infer insights on the human aspects of social media. Insights related to demographics, spatial distribution of cultural activities, space-time travel trajectories for humans as well as happiness has been mined from geo-tagged twitter data in recent studies. To date, not much study has been done on the impact of the geolocation features of a Tweet on its sentiment. This observation has inspired us to propose the usage of geo-location features as a method to perform sentiment classification. In this method, the sentiment classification of geo-tagged tweets is performed by concatenating geo-location features and one-hot encoded word vectors as inputs for convolutional neural networks (CNN) and long short-term memory (LSTM) networks. The addition of language-independent features in the form of geo-location features has helped to enrich the tweet representation in order to combat the sparse nature of short tweet message. The results achieved has demonstrated that concatenating geo-location features to one-hot encoded word vectors can achieve higher accuracy as compared to the usage of word vectors alone for the purpose of sentiment classification.

Published
2019

6. Tweet sentiment analysis using deep learning with nearby locations as features

Author

Lim, Wei Lun, Ho, Chiung Ching, Ting, Choo-Yee, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Alfred, Rayner, editor, Lim, Yuto, editor, Haviluddin, Haviluddin, editor, and On, Chin Kim, editor

Published
2020
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9. EEG-Based Mental Workload and Stress Monitoring of Crew Members in Maritime Virtual Simulator

Author

Lim, Wei Lun, Liu, Yisi, Harihara Subramaniam, Salem Chandrasekaran, Liew, Serene Hui Ping, Krishnan, Gopala, Sourina, Olga, Konovessis, Dimitrios, Ang, Hock Eng, Wang, Lipo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Gavrilova, Marina L., editor, Tan, C.J. Kenneth, editor, and Sourin, Alexei, editor

Published
2018
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10. CREATE STRIKING MANGA-STYLE ART.

Author

Lim Wei Lun

Subjects
ACHROMATISM, LIGHT sources
Abstract

This article from ImagineFX provides a tutorial on creating manga-style artwork with a cohesive color palette. The illustrator, Lim Wei Lun, shares his process and tips for choosing and blending colors to achieve a striking and unified final artwork. He also discusses the use of mood lighting and cinematographic techniques to convey emotions in the illustration. The tutorial covers steps such as sketching, line work, character blockout, lighting planning, background color blocking, picking colors, blending line work, refining lighting, adding atmospheric effects, applying chromatic aberration and blur effects, and adding a noise texture for finishing touches. [Extracted from the article]

Published
2024

13. CogniMeter: EEG-Based Brain States Monitoring

Author

Hou, Xiyuan, Liu, Yisi, Lim, Wei Lun, Lan, Zirui, Sourina, Olga, Mueller-Wittig, Wolfgang, Wang, Lipo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gavrilova, Marina L., editor, Tan, C.J. Kenneth, editor, and Sourin, Alexei, editor

Published
2016
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20. STEW: Simultaneous task EEG workload data set

Author

Lim, Wei Lun, Sourina, Olga, Wang, L.P., and Publica

Subjects
Research Line: Human computer interaction (HCI), Support vector machines (SVM), Lead Topic: Digitized Work, brain-computer interfaces (BCI), regression analysis
Abstract

This paper describes an open access electroencephalography (EEG) data set for multitasking mental workload activity induced by a single-session simultaneous capacity (SIMKAP) experiment with 48 subjects. To validate the database, EEG spectral activity was evaluated with EEGLAB and the significant channels and activities for the experiment are highlighted. Classification performance was evaluated by training a support vector regression model on selected features from neighborhood component analysis based on a nine-point workload rating scale. With a reduced feature dimension, 69% classification accuracy was obtained for 3 identified workload levels from the rating scale with Cohen's kappa of 0.46. Accurate discrimination of mental workload is a desirable outcome in the field of operator performance analysis and BCI development; thus, we hope that our provided database and analyses can contribute to future investigations in this research field.

Published
2018

21. Fourier transform infrared spectroscopy (FTIR) analysis of paddy straw pulp treated using deep eutectic solvent

Author

Farizul Hafiz Kasim, Ahmad Anas Nagoor Gunny, Dachyar Arbain, and Lim Wei Lun

Subjects
Materials science, Pulp (paper), food and beverages, Lignocellulosic biomass, engineering.material, Straw, Deep eutectic solvent, chemistry.chemical_compound, stomatognathic system, chemistry, engineering, Organic chemistry, Lignin, Hemicellulose, Fourier transform infrared spectroscopy, Cellulose, Nuclear chemistry
Abstract

This study focus on Fourier Transform Infrared Spectroscopy (FTIR) analysis of paddy straw pulp treated using deep eutectic solvent (DES). DES was synthesized using potassium carbonate and glycerol at different molar ratio under normal atmospheric pressure. Pretreatment of lignocellulosic biomass was carried out at temperature of 120°C for 60 minutes under mass ratio of paddy straw to DES 1:9. The chemical structures of the untreated paddy straw and paddy straw pulp treated with different molar ratio of DES were analyzed using FTIR. The characterization result from FT-IR spectra indicated that the potassium carbonate-glycerol DES deconstructed the structures of paddy straw by removing lignin and hemicellulose during the pulping process. The peak intensity that occurs at region between 900 cm−1 and 1500 cm−1 shows that the presence of elevated level of cellulose after lignocellulosic pulping. From FT-IR analysis, DES could not remove the functional group of lignin and hemicellulose completely but yet expos...

Published
2017

23. Neuroscience Based Design: Fundamentals and Applications

Author

Sourina, Olga, primary, Liu, Yisi, additional, Hou, Xiyuan, additional, Lim, Wei Lun, additional, Mueller-Wittig, Wolfgang, additional, Wang, Lipo, additional, Konovessis, Dimitrios, additional, Chen, Chun-Hsien, additional, and Ang, Wei Tech, additional

Published
2016
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24. Fourier Transform Infrared Spectroscopy (FTIR) analysis of Paddy Straw Pulp treated using Deep Eutectic Solvent.

Author

Lim Wei Lun, Gunny, Ahmad Anas Nagoor, Kasim, Farizul Hafiz, and Arbain, Dachyar

Subjects
*FOURIER transform infrared spectroscopy, *RICE straw, *POTASSIUM carbonate, *EUTECTICS, *SOLVENTS
Abstract

This study focus on Fourier Transform Infrared Spectroscopy (FTIR) analysis of paddy straw pulp treated using deep eutectic solvent (DES). DES was synthesized using potassium carbonate and glycerol at different molar ratio under normal atmospheric pressure. Pretreatment of lignocellulosic biomass was carried out at temperature of 120°C for 60 minutes under mass ratio of paddy straw to DES 1:9. The chemical structures of the untreated paddy straw and paddy straw pulp treated with different molar ratio of DES were analyzed using FTIR. The characterization result from FT-IR spectra indicated that the potassium carbonate-glycerol DES deconstructed the structures of paddy straw by removing lignin and hemicellulose during the pulping process. The peak intensity that occurs at region between 900 cm-1 and 1500 cm-1shows that the presence of elevated level of cellulose after lignocellulosic pulping. From FT-IR analysis, DES could not remove the functional group of lignin and hemicellulose completely but yet expose the structure of cellulose. [ABSTRACT FROM AUTHOR]

Published
2017
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