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Publication search results
found 427 matches
- 2024
- Wei Wang:
Data mining method of social media hot topics based on time series clustering. Int. J. Web Based Communities 20(1/2): 153-163 (2024) - Dongxiao Gu, Hu Liu, Huimin Zhao, Xuejie Yang, Min Li, Changyong Liang:
A deep learning and clustering-based topic consistency modeling framework for matching health information supply and demand. J. Assoc. Inf. Sci. Technol. 75(2): 152-166 (2024) - Kan Liu, Jiarui He, Yu Chen:
A topic-enhanced dirichlet model for short text stream clustering. Neural Comput. Appl. 36(14): 8125-8140 (2024) - Yanhong Jin:
An Emotional Analysis of Korean Topics based on Social Media Big Data Clustering. Scalable Comput. Pract. Exp. 25(1): 115-126 (2024) - Suguru Tsujioka, Kojiro Watanabe, Akihiro Tsukamoto:
Multimodal Image Clustering via Textual Descriptions: An Exploration of Contextual Topic Modeling. ICCDE 2024: 51-57 - Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. CoRR abs/2402.05296 (2024) - Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani:
A comprehensive study on Frequent Pattern Mining and Clustering categories for topic detection in Persian text stream. CoRR abs/2403.10237 (2024) - 2023
- Sahand Vahidnia:
Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and Tracking. University of New South Wales, Sydney, Australia, 2023 - Andre, Nanik Suciati, Hadziq Fabroyir, Eric Pardede:
Educational Data Mining Clustering Approach: Case Study of Undergraduate Student Thesis Topic. IEEE Access 11: 130072-130088 (2023) - Faizah, Bor-Shen Lin:
Visualizing Change and Correlation of Topics With LDA and Agglomerative Clustering on COVID-19 Vaccine Tweets. IEEE Access 11: 51647-51656 (2023) - Francisco Jáñez-Martino, Rocío Alaíz-Rodríguez, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. Appl. Soft Comput. 139: 110226 (2023) - Hoda Mashayekhi, Elham Sadat Alavi, Behzad Rezaie:
Microblog topic detection using evolutionary clustering and social network information. Concurr. Comput. Pract. Exp. 35(27) (2023) - Chunchun Hu, Qin Liang, Nianxue Luo, Shuixiang Lu:
Topic-Clustering Model with Temporal Distribution for Public Opinion Topic Analysis of Geospatial Social Media Data. ISPRS Int. J. Geo Inf. 12(7): 274 (2023) - Chandni Magoo, Manjeet Singh:
A Novel Hybrid Approach for Intent Creation and Detection Using K-Means-Based Topic Clustering and Heuristic-Based Capsule Network. Int. J. Inf. Technol. Decis. Mak. 22(6): 1923-1960 (2023) - Qiujuan Yang, Jiaxiao Zhang:
Sentiment Distribution of Topic Discussion in Online English Learning: An Approach Based on Clustering Algorithm and Improved CNN. Int. J. Inf. Technol. Syst. Approach 16(2): 1-14 (2023) - Yongliang Wu, Xuejun Wang, Wenbin Zhao, Xiaofeng Lv:
A novel topic clustering algorithm based on graph neural network for question topic diversity. Inf. Sci. 629: 685-702 (2023) - Ilmiyati Sari, Rifki Kosasih, Dina Indarti:
Clustering and Topic Modeling of Verdicts of Narcotics Cases Using Machine Learning. J. Adv. Comput. Intell. Intell. Informatics 27(6): 1168-1174 (2023) - Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh:
Optimization of scientific publications clustering with ensemble approach for topic extraction. Scientometrics 128(5): 2819-2877 (2023) - Ramesh Chandra Belwal, Sawan Rai, Atul Gupta:
Extractive text summarization using clustering-based topic modeling. Soft Comput. 27(7): 3965-3982 (2023) - Jian Zhang, Weichao Gao, Yanhe Jia:
WES-BTM: A Short Text-Based Topic Clustering Model. Symmetry 15(10): 1889 (2023) - Dipanjyoti Paul, Daipayan Chakder, Sriparna Saha, Jimson Mathew:
Multiview Deep Online Clustering: An Application to Online Research Topic Modeling and Recommendations. IEEE Trans. Comput. Soc. Syst. 10(5): 2566-2578 (2023) - Pritish Ranjan, Shyam Sundar Das, Narayanan Ramamurthi:
Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms. BCB 2023: 79:1 - Kosuke Manabe, Yukihisa Fujita, Masahiro Kuwahara, Teruaki Hayashi:
Variable-based Learning Considering Topic Specificity in Heterogeneous Data Clustering Tasks. IEEE Big Data 2023: 5657-5664 - Philip Chang, Ying-Tzu Yu, Abraham Sanders, Thilanka Munasinghe:
Perceiving the Ukraine-Russia Conflict: Topic Modeling and Clustering on Twitter Data. BigDataService 2023: 147-148 - Hao Chen, Yile Zhu:
Improved TF-IDF-Based LDA Topic Clustering Model for Specific Commodity Contexts and Different Sentiment Tendencies. CAIBDA 2023: 1171-1184 - Li Lin, Xiaoxi Guo:
Research on Topic Identification Algorithm Based on Semantic Clustering: A Case Study of the Metaverse Research. EITCE 2023: 1565-1571 - Nikos Kapellas, Sarantos Kapidakis:
Event Detection in News Articles: A Hybrid Approach Combining Topic Modeling, Clustering, and Named Entity Recognition. KEOD 2023: 272-279 - Takashi Maekaku, Yuya Fujita, Xuankai Chang, Shinji Watanabe:
Fully Unsupervised Topic Clustering of Unlabelled Spoken Audio Using Self-Supervised Representation Learning and Topic Model. ICASSP 2023: 1-5 - Daniel Bretsko, Alexander Belyi, Stanislav Sobolevsky:
Comparative Analysis of Community Detection and Transformer-Based Approaches for Topic Clustering of Scientific Papers. ICCSA (1) 2023: 648-660 - Jing Wu, Bicheng Li, Qilong Liu:
Topic detection based on BERT and seed LDA clustering model. ICIAI 2023: 72-78
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