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A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.

M. Asghar, A. Lajis, M. Alam, M. Rahmat, H. Nasir, H. Ahmad, M. Al-Rakhami, A. Alamri, and F. Albogamy. Complex., (2022)

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Proposed Assessment Framework Based on Bloom Taxonomy Cognitive Competency: Introduction to Programming.A. Lajis, H. Nasir, and N. Aziz. ICSCA, page 97-101. ACM, (2018)A Rule-Based Method for Cognitive Competency Assessment in Computer Programming Using Bloom's Taxonomy.Z. Ullah, A. Lajis, M. Jamjoom, A. Altalhi, J. Shah, and F. Saleem. IEEE Access, (2019)Unstructured Data to Visualized Information: Improving process of master list preparation for university ranking assessment and decision making: Unstructured Data to Visualized Information.A. Lajis, T. Mat, N. Seid, Z. Bakar, A. Khalid, F. Roslee, and N. Ali. ICSCA, page 14-19. ACM, (2023)NL scoring and Bloom competency test: an experimental result.A. Lajis, and N. Aziz. ICUIMC, page 85:1-85:5. ACM, (2012)Dynamic User Preference Parameters Selection and Energy Consumption Optimization for Smart Homes Using Deep Extreme Learning Machine and Bat Algorithm.A. Shah, H. Nasir, M. Fayaz, A. Lajis, I. Ullah, and A. Shah. IEEE Access, (2020)The Effect of Portable Laboratory Integrated with Local Wisdom (PL-ILW) for Physics Learning.R. Susanto, M. Husen, and A. Lajis. IMCOM, page 1-6. IEEE, (2023)A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.M. Asghar, A. Lajis, M. Alam, M. Rahmat, H. Nasir, H. Ahmad, M. Al-Rakhami, A. Alamri, and F. Albogamy. Complex., (2022)A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments.A. Shah, H. Nasir, M. Fayaz, A. Lajis, and A. Shah. Information, 10 (3): 108 (2019)Systematic Literature Review on Ontology-based Indonesian Question Answering System.F. Admojo, A. Lajis, and H. Nasir. Knowl. Eng. Data Sci., 6 (2): 129 (October 2023)Bloom's taxonomy: A beneficial tool for learning and assessing students' competency levels in computer programming using empirical analysis.Z. Ullah, A. Lajis, M. Jamjoom, A. Altalhi, and F. Saleem. Comput. Appl. Eng. Educ., 28 (6): 1628-1640 (2020)

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A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.

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URL
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Chicago
DIN 1505
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A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.