{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:55:26Z","timestamp":1777704926256,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,8,11]]},"abstract":"<jats:p>Understanding the real-world short texts become an essential task in the recent research area. The document deduction analysis and latent coherent topic named as the important aspect of this process. Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic Analysis (PLSA) are suggested to model huge information and documents. This type of contexts\u2019 main problem is the information limitation, words relationship, sparsity, and knowledge extraction. The knowledge discovery and machine learning techniques integrated with topic modeling were proposed to overcome this issue. The knowledge discovery was applied based on the hidden information extraction to increase the suitable dataset for further analysis. The integration of machine learning techniques, Artificial Neural Network (ANN) and Long Short-Term (LSTM) are applied to anticipate topic movements. LSTM layers are fed with latent topic distribution learned from the pre-trained Latent Dirichlet Allocation (LDA) model. We demonstrate general information from different techniques applied in short text topic modeling. We proposed three categories based on Dirichlet multinomial mixture, global word co-occurrences, and self-aggregation using representative design and analysis of all categories\u2019 performance in different tasks. Finally, the proposed system evaluates with state-of-art methods on real-world datasets, comprises them with long document topic modeling algorithms, and creates a classification framework that considers further knowledge and represents it in the machine learning pipeline.<\/jats:p>","DOI":"10.3233\/jifs-202545","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T14:38:44Z","timestamp":1617115124000},"page":"2441-2457","source":"Crossref","is-referenced-by-count":12,"title":["Topic prediction and knowledge discovery based on integrated topic modeling and deep neural networks approaches"],"prefix":"10.1177","volume":"41","author":[{"given":"Zeinab","family":"Shahbazi","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, IIST, Jeju National University, Jeju Special Self-Governing Province, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yung-Cheol","family":"Byun","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, IIST, Jeju National University, Jeju Special Self-Governing Province, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JIFS-202545_ref1","doi-asserted-by":"crossref","first-page":"102210","DOI":"10.1016\/j.ipm.2020.102210","article-title":"Machine learning classification of entrepreneurs in british historical census data","volume":"57","author":"Montebruno","year":"2020","journal-title":"Information Processing & Management"},{"issue":"3","key":"10.3233\/JIFS-202545_ref3","first-page":"e1450","article-title":"Machine learning and artificial neural network accelerated computational discoveries in materials science","volume":"10","author":"Hong","year":"2020","journal-title":"Wiley Interdisciplinary Reviews: Computational Molecular Science"},{"issue":"141","key":"10.3233\/JIFS-202545_ref4","doi-asserted-by":"crossref","first-page":"20170387","DOI":"10.1098\/rsif.2017.0387","article-title":"Opportunities and obstacles for deep learning in biology and medicine","volume":"15","author":"Ching","year":"2018","journal-title":"Journal of The Royal Society Interface"},{"key":"10.3233\/JIFS-202545_ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/jfm.2016.803","article-title":"Deep learning in fluid dynamics","volume":"814","author":"Kutz","year":"2017","journal-title":"Journal of Fluid Mechanics"},{"key":"10.3233\/JIFS-202545_ref8","doi-asserted-by":"crossref","first-page":"100597","DOI":"10.1016\/j.softx.2020.100597","article-title":"Georevi: A knowledge discovery and data management tool for subsurface characterization","volume":"12","author":"Linsel","year":"2020","journal-title":"SoftwareX"},{"issue":"8","key":"10.3233\/JIFS-202545_ref10","doi-asserted-by":"crossref","first-page":"376","DOI":"10.3390\/info11080376","article-title":"Automated seeded latent dirichlet allocation for social media based event detection and mapping","volume":"11","author":"Ferner","year":"2020","journal-title":"Information"},{"issue":"9","key":"10.3233\/JIFS-202545_ref14","doi-asserted-by":"crossref","first-page":"4463","DOI":"10.1007\/s00521-018-3725-5","article-title":"Intelligent equipment design assisted by cognitive internet of things and industrial big data","volume":"32","author":"Wan","year":"2020","journal-title":"Neural Computing and Applications"},{"issue":"4","key":"10.3233\/JIFS-202545_ref20","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1145\/2133806.2133826","article-title":"Probabilistic topic models","volume":"55","author":"Blei","year":"2012","journal-title":"Communications of the ACM"},{"key":"10.3233\/JIFS-202545_ref22","first-page":"2708","article-title":"A neural autoregressive topic model","volume":"25","author":"Larochelle","year":"2012","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.3233\/JIFS-202545_ref24","first-page":"42","article-title":"Using topic modeling methods for short-text data: A comparative analysis. front","volume":"3","author":"Albalawi","year":"2020","journal-title":"Artif, Intell"},{"issue":"2","key":"10.3233\/JIFS-202545_ref26","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1109\/TPAMI.2018.2798607","article-title":"Multimodal machine learning: A survey and taxonomy","volume":"41","author":"Baltru\u0161aitis","year":"2018","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"2","key":"10.3233\/JIFS-202545_ref28","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1177\/0047287508328795","article-title":"Measuring guest satisfaction and competitive position in the hospitality and tourism industry: An application of stance-shift analysis to travel blog narratives","volume":"48","author":"Crotts","year":"2009","journal-title":"Journal of Travel Research"},{"key":"10.3233\/JIFS-202545_ref31","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.tourman.2016.10.001","article-title":"A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism","volume":"58","author":"Xiang","year":"2017","journal-title":"Tourism Management"},{"issue":"17","key":"10.3233\/JIFS-202545_ref32","doi-asserted-by":"crossref","first-page":"4802","DOI":"10.3390\/su11174802","article-title":"Detection of fake reviews: Analysis of sellers\u2019 manipulation behavior","volume":"11","author":"Chen","year":"2019","journal-title":"Sustainability"},{"key":"10.3233\/JIFS-202545_ref33","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.ijhm.2018.08.007","article-title":"More than words: Do emotional content and linguistic style matching matter on restaurant review helpfulness?","volume":"77","author":"Wang","year":"2019","journal-title":"International Journal of Hospitality Management"},{"issue":"24","key":"10.3233\/JIFS-202545_ref36","doi-asserted-by":"crossref","first-page":"5496","DOI":"10.3390\/app9245496","article-title":"Topic predictions and optimized recommendation mechanism based on integrated topic modeling and deep neural networks in crowdfunding platforms","volume":"9","author":"Shafqat","year":"2019","journal-title":"Applied Sciences"},{"key":"10.3233\/JIFS-202545_ref41","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.neucom.2019.02.072","article-title":"A data-driven approach to spoken dialog segmentation","volume":"391","author":"Griol","year":"2020","journal-title":"Neurocomputing"},{"key":"10.3233\/JIFS-202545_ref42","first-page":"5993","article-title":"Analysis of domain-independent unsupervised text segmentation using lda topic modeling over social media contents","volume":"29","author":"Shahbazi","year":"2020","journal-title":"International Journal of Advanced Science and Technology"},{"issue":"2","key":"10.3233\/JIFS-202545_ref45","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s10115-017-1099-0","article-title":"Short text topic modeling by exploring original documents","volume":"56","author":"Li","year":"2018","journal-title":"Knowledge and Information Systems"},{"issue":"11","key":"10.3233\/JIFS-202545_ref47","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.3390\/sym12111798","article-title":"Toward social media content recommendation integrated with data science and machine learning approach for e-learners","volume":"12","author":"Shahbazi","year":"2020","journal-title":"Symmetry"},{"issue":"9","key":"10.3233\/JIFS-202545_ref48","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.3390\/sym12091566","article-title":"Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches","volume":"12","author":"Shahbazi","year":"2020","journal-title":"Symmetry"},{"key":"10.3233\/JIFS-202545_ref49","first-page":"6979","article-title":"Product recommendation based on content-based filtering using xgboost classifier","volume":"29","author":"Shahbazi","year":"2019","journal-title":"Int J Adv Sci Technol"},{"key":"10.3233\/JIFS-202545_ref50","doi-asserted-by":"crossref","unstructured":"Shu X. , Knowledge Discovery in the Social Sciences: A Data Mining Approach, Univ of California Press, 2020.","DOI":"10.1525\/9780520965874"},{"issue":"4","key":"10.3233\/JIFS-202545_ref51","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s42044-018-0019-0","article-title":"Knowledge discovery in multidimensional knowledge representation framework","volume":"1","author":"Zenkert","year":"2018","journal-title":"Iran Journal of Computer Science"},{"issue":"6","key":"10.3233\/JIFS-202545_ref54","doi-asserted-by":"crossref","first-page":"102060","DOI":"10.1016\/j.ipm.2019.102060","article-title":"Fuzzy topic modeling approach for text mining over short text","volume":"56","author":"Rashid","year":"2019","journal-title":"Information Processing & Management"},{"key":"10.3233\/JIFS-202545_ref55","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.knosys.2019.02.033","article-title":"Transportation sentiment analysis using word embedding and ontology-based topic modeling","volume":"174","author":"Ali","year":"2019","journal-title":"Knowledge-Based Systems"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-202545","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:42:25Z","timestamp":1777455745000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-202545"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,11]]},"references-count":26,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.3233\/jifs-202545","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,11]]}}}