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README
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description
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01 DH around us.pptx
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1.4 MB
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Microsoft PowerPoint 2007
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slides
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DH 1 - Text Analysis.ipynb
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56.63 KB
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practical: Jupyter Notebook
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01 intro.pptx
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15.46 MB
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Microsoft PowerPoint 2007
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01 intro.mp4
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DH 2 - Cloud Based OCR.ipynb
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2.37 MB
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practical: Jupyter Notebook
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02 - digitization.pptx
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3.56 MB
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Microsoft PowerPoint 2007
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slides
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02 - digitization.mp4
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03 - using APIs.pptx
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1.7 MB
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Microsoft PowerPoint 2007
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slides
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DH 3 - Text Analysis Using APIs.ipynb
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3.09 MB
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practical: Jupyter Notebook
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03 - using APIs.mp4
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167.46 MB
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DH 4 - tasks.txt
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330 bytes
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practical: install software and try it
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Install Apache Tika App from https://tika.apache.org/download.html
You must have Java installed. 
Run the application: either by double clicking on it or from the command line: java -jar tika-app-version.jar
Process a PDF file, a DOC(X) file, an Excel file. See the metadata, observe the results. Try files in different languages. . . .
                                            
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04 - encoding.pptx
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1.41 MB
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Microsoft PowerPoint 2007
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slides
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04 - preprocessing.pptx
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Microsoft PowerPoint 2007
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04 - encoding.mp4
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04 - preprocessing.mp4
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05 - visualization.pptx
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1.83 MB
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DH 5 - Text Analysis and Visualization.ipynb
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4.14 MB
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practical: Jupyter Notebook
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05 - visualization.mp4
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213.42 MB
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video
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DH 6 - tasks.txt
Size
217 bytes
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Text file
Description
practical: install software and try it
MD5
25142ba80b916e58971539e72696b06a
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Install RTIViewer from http://culturalheritageimaging.org/What_We_Offer/Downloads/View/
Download example files and observe them.
Optional task: Do you have ideas where Reflectance Transformation Imaging could be used? . . .
                                            
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06 - image processing.pptx
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35.43 MB
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Microsoft PowerPoint 2007
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slides
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06 - image processing.mp4
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317.11 MB
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07 - word embeddings.pptx
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1.77 MB
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Microsoft PowerPoint 2007
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slides
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DH 7 - Text Analysis using Word Embeddings.ipynb
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3.79 MB
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practical: Jupyter Notebook
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07 - word embeddings.mp4
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408.83 MB
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08 - assessment of DH.pptx
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1.41 MB
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Microsoft PowerPoint 2007
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08 - evaluation.pptx
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1.74 MB
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slides
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DH 8 Evaluation.ipynb
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125.93 KB
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practical: Jupyter Notebook
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08 - assessment of DH.mp4
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167.9 MB
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08 - evaluation.mp4
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310.86 MB
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video
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DH 9 - tasks.txt
Size
206 bytes
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Description
practical: read specification, try software
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Task 1: Read about Dublin Core specifications in https://dublincore.org/.
Task 2: Go back to Lesson 4. Run Apache Tika App and process a file. Observe the metadata. Which of them are related to Dublin Core? . . .
                                            
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09 - metadata.pptx
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09 - metadata.mp4
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10 - infrastructure.pptx
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1.6 MB
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slides
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DH 10 Complete Analysis.ipynb
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1.08 MB
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practical: Jupyter Notebook
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10 - infrastructure.mp4
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144.52 MB
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key.json
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2.25 KB
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example Google API key (not functional)
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maj.txt
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30.04 KB
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example text for processing
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1

Byl pozdní večer – první máj –
večerní máj – byl lásky čas.
Hrdliččin zval ku lásce hlas,
kde borový zaváněl háj.
O lásce šeptal tichý mech;
květoucí strom lhal lásky žel,
svou lásku slavík růži pěl,
růžinu jevil vonný vzdech.
Jezero hladké v křovích stinných
zvučelo temně tajný bol,
břeh je objímal kol a kol;
a slunce jasná světů jiných
bloudila blankytnými pásky,
planoucí tam co slzy lásky.

I světy jich v oblohu skvoucí
co ve chrám věčné lásky vzešly;
až se – milostí k sobě vroucí
změnivše se v jiskry hasnoucí –
bloudící co milenci sešly.
Ouplné lůny krásná tvář –
tak bledě jasná, jasně bledá,
jak milence milenka hledá –
ve růžovou vzplanula zář;
na vodách obrazy své zřela
a sama k sobě láskou mřela.
Dál blyštil bledý dvorů stín,
jenž k sobě šly vzdy blíž a blíž,
jak v objetí by níž a níž
se vinuly v soumraku klín,
až posléze šerem v jedno splynou.
S nimi se stromy k stromům vinou. –
Nejzáze stíní šero hor,
tam bříza k boru, k bříze bor
se klon . . .