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dc.contributor.author Nevěřilová, Zuzana
dc.date.accessioned 2021-09-21T13:53:42Z
dc.date.available 2021-09-21T13:53:42Z
dc.date.issued 2021-06-15
dc.identifier.uri http://hdl.handle.net/20.500.12800/1-3768
dc.description The aim of the course is to introduce digital humanities and to describe various aspects of digital content processing. The course consists of 10 lessons with video material and a PowerPoint presentation with the same content. Every lesson contains a practical session – either a Jupyter Notebook to work in Python or a text file with a short description of the task. Most of the practical tasks consist of running the programme and analyse the results. Although the course does not focus on programming, the code can be reused easily in individual projects. Some experience in running Python code is desirable but not required.
dc.language.iso eng
dc.publisher Masaryk University, Brno
dc.relation.isreferencedby https://www.clarin.eu/content/introduction-digital-humanities
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject data-driven research
dc.subject digital content processing
dc.subject text processing
dc.subject image processing
dc.subject metadata
dc.subject word embeddings
dc.subject evaluation
dc.subject research infrastructures
dc.title Digital humanities: Introduction. A 10-week course with practical sessions.
dc.type onlineCourse
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Zuzana Nevěřilová xpopelk@fi.muni.cz Zuzana Nevěřilová
sponsor Ministerstvo školství, mládeže a tělovýchovy České republiky LM2018101 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds
size.info 3 gb
size.info 38 files
files.size 3105472629
files.count 38
edm.type VIDEO


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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
Description
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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slides
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01 intro.mp4
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219.65 MB
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video
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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
Description
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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video
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DH 4 - tasks.txt
Size
330 bytes
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Text file
Description
practical: install software and try it
MD5
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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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2.19 MB
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Microsoft PowerPoint 2007
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slides
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04 - encoding.mp4
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213.4 MB
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04 - preprocessing.mp4
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360.61 MB
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05 - visualization.pptx
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1.83 MB
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Microsoft PowerPoint 2007
Description
slides
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bcd99c33f447d294b5f9c4e6e52e0cf8
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Name
DH 5 - Text Analysis and Visualization.ipynb
Size
4.14 MB
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Description
practical: Jupyter Notebook
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05 - visualization.mp4
Size
213.42 MB
Format
MPEG-4 video
Description
video
MD5
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Name
DH 6 - tasks.txt
Size
217 bytes
Format
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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Name
06 - image processing.pptx
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35.43 MB
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Microsoft PowerPoint 2007
Description
slides
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06 - image processing.mp4
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317.11 MB
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video
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07 - word embeddings.pptx
Size
1.77 MB
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Microsoft PowerPoint 2007
Description
slides
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Name
DH 7 - Text Analysis using Word Embeddings.ipynb
Size
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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video
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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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slides
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08 - evaluation.pptx
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1.74 MB
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Microsoft PowerPoint 2007
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slides
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DH 8 Evaluation.ipynb
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125.93 KB
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Description
practical: Jupyter Notebook
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d5dd363d32fca65df2d9f68c712b7799
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08 - assessment of DH.mp4
Size
167.9 MB
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video
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08 - evaluation.mp4
Size
310.86 MB
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Description
video
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db78a5f1fbdbd846ef21e25545dc96d7
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Name
DH 9 - tasks.txt
Size
206 bytes
Format
Text file
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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1.52 MB
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Microsoft PowerPoint 2007
Description
slides
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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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Microsoft PowerPoint 2007
Description
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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Description
example Google API key (not functional)
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maj.txt
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30.04 KB
Format
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Description
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 . . .
                                            

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