'Textual data' diaporamas de présentation

Special topics on text mining [ Part I: text classification ]

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Qualitative Methods Part One

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Chapter 20 The STL (containers, iterators, and algorithms)

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Design and Evaluation of an IR-Benchmark for SPARQL Fulltext Queries

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Overflow

Overflow. Signed binary is in fixed range -2 n-1 ? 2 n-1 If the answer for addition/subtraction more than the range, it is overflow Two situation where overflow can happen: Positive + positive = negative (enough n-bit) Negative + negative = positive(more than n-bit). Overflow.

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CLARIN-NL First Call

CLARIN-NL First Call. Jan Odijk CLARIN-NL Kick-off Meeting Utrecht, 27 May 2009. Overview. Background Project Types Project Goals Roles Resource Curation Projects Demonstrator Projects CLARIN Centres Requirements and Desiderata Evaluation Criteria & Procedure Practical Matters.

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Entity Ranking and Relationship Queries Using an Extended Graph Model

Ankur Agrawal S. Sudarshan Ajitav Sahoo Adil Sandalwala Prashant Jaiswal IIT Bombay. Entity Ranking and Relationship Queries Using an Extended Graph Model. History of Keyword Queries. Ca. 1995: Hyper -success of keyword search on the Web Keyword search a LOT easier than SQL!

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Computers Are Your Future

Computers Are Your Future. Chapter 4 Databases and Information Systems. Database Concepts. Data is any unorganized text, graphics, sounds, or videos. A database is a collection of data. Database programs enable people to add, sort, group, summarize, and print data.

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Biomedical Named Entity Recognition

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Scientific Visualization of Language Data Chris Culy Winter 2011

Scientific Visualization of Language Data Chris Culy Winter 2011. LInfoVis* (< Language Information Visualization, cf. InfoVis) : the visualization of language related information, especially on computer displays * Not a standard term (not yet, anyway). What are we doing?.

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Data modeling and metadata

Data modeling and metadata. From graphs to graphs. Metadata. Full metadata: relational schemas Self defining data: XML, key/value, key/document No metadata: untagged images, video, audio Parallel metadata: tagged images, video, audio. Full schema metadata. Origins: Semantic networks in AI

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INF 123 SW Arch, dist sys & interop Lecture 10

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Relevance in big data : an IR perspective

Relevance in big data : an IR perspective. Jian-Yun Nie University of Montreal. Big data dream. Data available when needed Data can be processed at a click Finding needed data as required Relating data from different sources Understanding the data correctly

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What is Multidimensional Scaling [MDS] ?

What is Multidimensional Scaling [MDS] ?. Anthony P.M. Coxon Emeritus Professor of Sociological Research Methods, University of Wales Honorary Professor, Cardiff University Honorary Professorial Research Fellow, University of Edinburgh Co-founder & Co- Director of MDS software packages,

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SEVEN

SEVEN. Analysing Textual Data. Figure 7.1 Multiple documents open in ATLAS.ti 7. (screenshot adapted courtesy of Susanne Friese ). Figure 7.2 MAXQDA emoticodes. Figure 7.3 Memo tool in MAXQDA. Vignette 7.4 Using the Memo Feature in MAXQDA. Figure 7.4 Hyperlink tool in ATLAS.ti.

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SAL-I Project Proposal

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Rencontres TEI Council Lyon 2009

Rencontres TEI Council Lyon 2009. Serge Heiden ICAR Laboratory / Lyon University slh@ens-lsh.fr. Council, ENS-LSH, Lyon (France), 1 April 2009. Context (1/2). Project objective (2007-2009) : To develop an open-source software platform for Textometry analysis of textual data Partners :

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Methods

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