[PDF] Top 20 Topic Modeling Based Classification of Clinical Reports
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Topic Modeling Based Classification of Clinical Reports
... important clinical information about pa- ...imaging reports into bi- nary ...text classification, we utilized topic mod- eling of the entire dataset in various ...ways. Topic ... See full document
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Key Terms: Data Mining, Academic Social Network, Topic modeling, Supervised learning. I INTRODUCTION
... mainly based on bibliographic metadata, are not intelligent enough to understand the meaning of the content in research ...on Classification research articles from highly interconnected domains (with ... See full document
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Statistical Methods for Relational Data: Visualization, Classification, and Topic Modeling on Networks.
... open discussions, and connect with their colleagues. In such a network, instead of a single paper per node, as with a traditional citation network, one may observe multiple papers on one node. To make matters even more ... See full document
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Siamese Network Based Supervised Topic Modeling
... characteristics. Based on sLDA, multi-class sLDA (sLDAc) (Wang et ...one topic. To improve the performance of L-LDA in the classification task, Dependency-LDA (Dep- LDA) (Rubin et ...extra ... See full document
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Title: User Document Recommendation Using Pattern Modeling
... Pattern- based Topic Model with Dimensionality Reduction consists of topic distributions describing topic inclinations of all document or the document collection and pattern-based ... See full document
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Topic Modeling based Domain Adaptation for System Combination
... The study of translation outputs obtained by systems trained on out-of-domain training data has contributed to the advance of domain adaptation techniques for statistical machine translation (SMT) (Foster and Kuhn, 2007; ... See full document
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Anomalous Topic Discovery based on Topic Modeling from Document Cluster
... Ref. [12] proposes Fast Generalized Subset Scan (FGSS) to detect anomalous patterns in downright informational indexes. Not at all like numerous different strategies, FGSS gives a calculation to building strange bunches ... See full document
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Crime topic modeling
... latent topic modeling at a conceptual ...text- based narratives to better characterize crime ...“Latent topic modeling for text analysis” presents methodological details underlying ... See full document
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Identifying Segment Topics in Medical Dictations
... for topic classi- fication in dictated medical ...SVM classification to assign whole reports to coarse work-type cate- ...their topic are identified in the output of automatic speech ... See full document
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Short Text Classification Based on Latent Topic Modeling and Word Embedding
... addition, topic model is another way to encode the intention of the sentences, while making the representations ...dense. Topic model is to describe a topic by the distribution of related words and ... See full document
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Why ADAGRAD Fails for Online Topic Modeling
... erage of gradients as the denominator of learn- ing rates. The learning rates will not monotoni- cally decrease, but vary in a certain range. This property prevents online topic models from being trapped and ... See full document
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Risk of bias in industry-funded oseltamivir trials: comparison of core reports versus full clinical study reports
... to make meta-analysis results unreliable, either it should not be carried out or a prominent explanation of its clear limitations should be included alongside the meta-analysis. We found the Cochrane risk of bias tool to ... See full document
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Intra Topic Variability Normalization based on Linear Projection for Topic Classification
... The data set used in this paper is the text tran- scripts of free-style conversational speech database, Fisher English corpus released by LDC, which con- tains 11699 recorded conversations (Cieri et al., 2004). This ... See full document
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Topic Modeling on Historical Newspapers
... These topics appear to an unlikely subject identified by the modeling. The words Houston, hero, general, april and san (perhaps part of San Jacinto) all fit together for a historian to suggest a sustained ... See full document
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Overview of Topic based Chinese Message Polarity Classification in SIGHAN 2015
... In this task, the participants are required to sub- mit two kinds of results based on: (1) restricted resource for fair comparison, e.g. sentiment lexi- con, corpus; and (2) unrestricted resource. We be- lieve ... See full document
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NDMSCS: A Topic Based Chinese Microblog Polarity Classification System
... The microblog usually has a length limitation of 140 characters, which leads to extremely sparse vectors for the learning algorithms. On the oth- er hand, people are used to using a simple sen- tence, or even a few words ... See full document
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Topic Models with Logical Constraints on Words
... consider topic analysis of a cor- pus with movie reviews for illustrative pur- ...same topic, while ‘dicaprio’ (means Leonardo DiCaprio) and ‘kung-fu’ should not appear in the same ... See full document
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Topic Based Chinese Message Polarity Classification System at SIGHAN8 Task2
... For each vertex in the graph, its importance ranking score benefits from adjacent nodes, and on the other hand, its own ranking score can also be transferred to the neighboring vertexes. Ac- cording to the above ... See full document
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... Items Based on User Similarity The ranking method we proposed in ...the topic distribution over fitted by the little information about the ...user based on the topic model and then make a ... See full document
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Improving Topic Quality by Promoting Named Entities in Topic Modeling
... 2.2 Topic Modeling and Term Weighting Traditionally, the input of LDA is a document- term matrix of term frequencies (TF), according to the bag-of-words model ... See full document
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