[PDF] Top 20 Document Modelling with Semantic Pattern-Based Topics
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Document Modelling with Semantic Pattern-Based Topics
... Topic modelling has become one of the most popular probabilistic text modelling techniques, and has been quickly accepted by machine learning and text mining ...topic modelling is that it ... See full document
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Finding document topics for improving topic segmentation
... This quick overview highlights the important role of the evaluation of the similarity between discourse units in the segmentation process. When no exter- nal knowledge is used, this similarity is only based on the ... See full document
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Similar Document Retrieval using Pattern-Based Topic Modelling for Information Filtering
... or document stream based on document representations which represent users’ ...on modelling user’s interests with multiple ...of topics, each of which is represented by words and their ... See full document
5
A Semantic Based Approach for Abstractive Multi-Document Text Summarization
... rich semantic graph reducing ...rich semantic graph for the original documents, reducing the generated graph, and then generating the abstractive summary from the reduced ... See full document
10
Using LDA to detect semantically incoherent documents
... the semantic coherence of a doc- ument is a challenging task and has sev- eral applications such as in text segmenta- tion and ...true document and a ‘ran- domly generated’ false document through ... See full document
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e science and the semantic web: A symbiotic relationship
... the Semantic Web, enabling a dramatic reduction in the time needed to create new results and consequently the so-called “time to insight” and discovery ...[47]. Semantic Web- based applications ... See full document
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Using a Wikipedia based Semantic Relatedness Measure for Document Clustering
... Latent Semantic Analysis (LSA) (Deer- wester et ...of topics for LSA and LDA is set to 100 to make the computation ...our document network clearly in- creases both precision and recall in comparison ... See full document
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FEATURE ANALYSIS OF PUBLIC COMPLAINT HANDLING APPLICATION USING FODA
... and topics only approach in terms of micro-average precision as illustrated by table ...using topics only and in case of using unigrams ...only based approach failed to recommend patterns for some ... See full document
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Deep Level Markov Chain Model for Semantic Document Retrieval
... not based on space, so when working with Vietnamese language, people often use segmentation ...topic modelling in order to better handle input ...topic modelling has a relatively small number of ... See full document
6
Experiments on Semantic based Clustering for Cross document Coreference
... full document versus summary condition and their clustering algo- rithm is rather ...full document condition in the clustering ...used semantic information extracted from docu- ments referring to the ... See full document
8
Ontology Based Semantic Document Clustering Using LDA Algorithm
... more semantic data are accessible now that pass on a lot of ...Moreover, document clustering methods can be used to bunch tweets into pertinent themes, in help of the present negligible 'Patterns' function ... See full document
5
Pattern Based Topics for Document Modelling Using HLA
... for pattern refinement in text mining. Instead of the keyword- based approach which is typically used in this field, the pattern based model containing frequent sequential patterns is employed ... See full document
7
Semantic Pattern-Based Topics Filtering for Document Modeling
... Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high ... See full document
7
Employing Topic Models for Pattern based Semantic Class Discovery
... of topics (k) to be ...of semantic classes from the source RASC ...of semantic classes, we fix (for all items q) a topic number which is slightly larger than the number of classes an item could ... See full document
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A semantic partition based text mining model for document classification.
... pre-p pattern and its constraints, the second column represents the filler and the third column represents a pos-p as shown in Fig ...pre-filler pattern should consist of nouns and proper nouns and must be ... See full document
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Semantic web-based document: editing and browsing in AktiveDoc
... First and foremost, we claim that annotations (and especially ontological-based ones) must be generated as part of the document production step (i.e. editing) rather than during a separated step, as it ... See full document
11
Semantic Structure Representation of HTML Document Suitable for Semantic Document Retrieval
... the document plays an important role in supporting the task of document classification and ...providing semantic structure to the HTML documents and store it in the knowledge store as ... See full document
5
Pattern based Word Sketches for the Extraction of Semantic Relations
... KPs have been successfully applied in many terminology-related projects that have led to the crea- tion of knowledge extraction tools, such as Caméléon (Aussenac-Gilles and Jacques 2008) and Termi- noWeb (Barrière and ... See full document
10
Semantic Based Multilingual Document Clustering via Tensor Modeling
... initial document-term (alternatively, document-synset) matrix representing the texts in a lower space, whereas SeMDocT does the same starting from a richer repre- sentation of the documents ... See full document
10
Semantic Based Document Clustering Using Lexical Chains
... the document based on disambiguated core semantic features extracted and exploits the characteristics of lexical chain based on ...of document which identifies the noun as a feature by ... See full document
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