全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Go Eun Heo , Keun Young Kang , Min Song ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (7)Springer
摘要:... In previous studies, Latent Dirichlet Allocation (LDA) was the most representative topic modeling technique for identifying topic structure of subject areas. However, as opposed to revealing the topic structure in relation to metadata such as authors, publication date, and jo...
作者:Vicky Chen , John Paisley , Xinghua Lu
来源:[J].BMC Genomics(IF 4.397), 2017, Vol.18 (2)Springer
摘要:... Combining this representation with topic modeling would allow us to identify patterns in altered signaling pathways.
作者:Ruichang Zhang , Zhanzhan Cheng , Jihong Guan ...
来源:[J].BMC Bioinformatics(IF 3.024), 2015, Vol.16 (S5)Springer
摘要:... Then, we employ a probabilistic topic model -- the Latent Dirichlet Allocation (LDA) model to the reads, which generates a number of hidden "topics" such that each read can be represented by a distribution vector of the generated topics. Finally, as in the MCluster method, we...
作者:Sergei Koltcov , Vera Ignatenko , Olessia Koltsova
来源:[J].Entropy(IF 1.347), 2019, Vol.21 (7)DOAJ
摘要:Topic modeling is a popular approach for clustering text documents. However, current tools have a number of unsolved problems such as instability and a lack of criteria for selecting the values of model parameters. In this work, we propose a method to solve partially the problem...
作者:Hamed Jelodar , Yongli Wang , Chi Yuan ...
来源:[J].Multimedia Tools and Applications(IF 1.014), 2019, Vol.78 (11), pp.15169-15211Springer
摘要:Abstract(#br)Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text documents. Researchers have published many articles in the field of topic modeling and applied in various fields...
作者:Thomas H. McCoy
来源:[J].Psychosomatics(IF 1.732), 2019, Vol.60 (2), pp.105-120Elsevier
摘要:... Delirium is recognized, through both professional competencies and instructional materials, as a core topic in consultation psychiatry.(#br)Objective(#br)Conduct a computational scoping review of the delirium literature to identify the overall contours of this literature and ...
作者:Weizhong Zhao , James J. Chen , Roger Perkins ...
来源:[J].BMC Bioinformatics(IF 3.024), 2016, Vol.17 (1)Springer
摘要:... Topic modeling is an active research field in machine learning and has been mainly used as an analytical tool to structure large textual corpora for data mining.(#br) Methods(#br)We report a novel procedure to analyse NGS data using topic modeling. It consists of four major p...
作者:Ximing Li , Changchun Li , Jinjin Chi ...
来源:[J].Knowledge and Information Systems(IF 2.225), 2018, Vol.56 (2), pp.443-462Springer
摘要:Abstract(#br)Topic modeling for short texts faces a tough challenge, owing to the sparsity problem. An effective solution is to aggregate short texts into long pseudo-documents before training a standard topic model. The main concern of this solution is the way of aggregating sho...
作者:Masoud Fatemi , Mehran Safayani
来源:[J].Multimedia Tools and Applications(IF 1.014), 2019, Vol.78 (15), pp.20637-20653Springer
摘要:... Through the processing of these data, it is possible to discover practical information about different topics, individual’s opinions and a thorough understanding of the society. Therefore, applying models which can automatically extract the subjective information from ...
作者:Rundong Du , Da Kuang , Barry Drake ...
来源:[J].Journal of Global Optimization(IF 1.307), 2017, Vol.68 (4), pp.777-798Springer
摘要:The importance of unsupervised clustering and topic modeling is well recognized with ever-increasing volumes of text data available from numerous sources. Nonnegative matrix factorization (NMF) has proven to be a successful method for cluster and topic discovery in unlabeled data...

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