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How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining
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In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.archives-ouvertes.fr/hal-01168120 ; Neurocomputing, Elsevier, 2014, 147, pp.120-135. ⟨10.1016/j.neucom.2013.12.057⟩ (2014)
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Mesurer la similarité structurelle entre réseaux lexicaux
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In: TALN-20 2014 ; https://hal.archives-ouvertes.fr/hal-01321990 ; TALN-20 2014, Jul 2014, Marseille, France (2014)
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Yet Another Ranking Function for Automatic Multiword Term Extraction
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In: 9th International Conference on Natural Language Processing (PolTAL) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068556 ; 9th International Conference on Natural Language Processing (PolTAL), Sep 2014, Warsaw, Poland. pp.52-64, ⟨10.1007/978-3-319-10888-9_6⟩ ; http://poltal.ipipan.waw.pl/ (2014)
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Natural Language Semantics in Biproduct Dagger Categories
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In: ISSN: 1570-8683 ; Journal of Applied Logic ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00860382 ; Journal of Applied Logic, Elsevier, 2014, 12, pp.88-108. ⟨10.1016/j.jal.2013.08.001⟩ (2014)
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Supervised and semi-supervised statistical models for word-based sentiment analysis ... : Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse ...
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Graph Analyzer Widget Closer to Agility through Sense-Making
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In: DTIC (2014)
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Abstract:
Social Network Analysis (SNA) is essential to understand how information flows through Social Networks and is thought to be strategic for making sense of how individuals/groups/organizations work, collaborate, co-operate, grow or influence others. Defence Research and Development Canada (DRDC) Valcartier is performing research activities on SNA. The initial research activities were focusing on SNA conducted in a counter-insurgency context and were aiming at investigating SNA methods and tools that could augment an intelligence analysis capability. In the spirit of the Visualization domain, which allows information/knowledge to be derived from the visual representation of data/information; visualization widgets were designed and grouped under the term Graph Analyzer to assist intelligence analysts in comprehending and interpreting social network (SN)-related data (automatically extracted). The Graph Analyzer Widget and other developed widgets exploit the graphical rendering of information/knowledge (e.g. graphs, diagrams, charts, etc.) which are the visual artefacts representing data, illustrating relationships and patterns among data, and also allow analysis and comparisons between graphical representations of data sets. These widgets propose interactive, explanatory and tailored visualizations to support sense-making. They combine visual representations of graph diagrams composed of nodes and links to other visual representations such as statistical results, lists of nodes, geospatial and temporal aspects or the semantic meaning of links based on a SN ontology. ; Presented at the 19th International Command & Control Research & Technology Symposium (ICCRTS) held 16-19 June, 2014 in Alexandria, VA.
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Keyword:
*INFORMATION PROCESSING; CANADA; COMPUTER PROGRAMS; FOREIGN REPORTS; GRAPHS; Information Science; INTELLIGENCE; INTELLIGENCE ANALYSIS; SOCIAL COMMUNICATION; SOCIAL NETWORK ANALYSIS; VISUAL AIDS; VISUALIZATION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA607981 http://www.dtic.mil/docs/citations/ADA607981
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An Annotation Framework for Dense Event Ordering
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In: DTIC (2014)
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The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems.
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Supervised and semi-supervised statistical models for word-based sentiment analysis ; Überwachte und halbüberwachte statistische Modelle zur wortbasierten Sentimentanalyse
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Specifying and verifying program transformations with PTRANS
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Construction of an ontology for intelligent Arabic QA systems leveraging the Conceptual Graphs representation
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Detección de plagio translingüe utilizando una red semántica multilingüe
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