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 |
Files in this item
This item is
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
and licensed under:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Name
- README
- Size
- 2.24 KB
- Format
- Unknown
- Description
- description
- MD5
- 438062a5dbd764121d6787637ad0c0f6
- Name
- 01 DH around us.pptx
- Size
- 1.4 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- c6e6ef7a2c53b03a5d5d13b0ba7c3f5a
- Name
- DH 1 - Text Analysis.ipynb
- Size
- 56.63 KB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- af17717a34fd852ed992fe4b34a0b3da
- Name
- 01 intro.pptx
- Size
- 15.46 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- c6017e3639c524f5dba19c5beaffc5ed
- Name
- 01 intro.mp4
- Size
- 219.65 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 66c465299ea1a6aa105634b049d50b8d
- Name
- DH 2 - Cloud Based OCR.ipynb
- Size
- 2.37 MB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- 47e5cd6e8f643bd41feba5a67c9cac9d
- Name
- 02 - digitization.pptx
- Size
- 3.56 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 39de288efcdaa77038f869b8a3eae012
- Name
- 02 - digitization.mp4
- Size
- 185.39 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 1fae3f636b93828433b39dd7e160cf9a
- Name
- 03 - using APIs.pptx
- Size
- 1.7 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 23b1031e5c8e62eb3fdddcf3bec37830
- Name
- DH 3 - Text Analysis Using APIs.ipynb
- Size
- 3.09 MB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- 323a62421d8eb3140204f7f1ef393dd8
- Name
- 03 - using APIs.mp4
- Size
- 167.46 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 1d50e62a2a57a9055b59776b06395727
- Name
- DH 4 - tasks.txt
- Size
- 330 bytes
- Format
- Text file
- Description
- practical: install software and try it
- MD5
- 2ef05c6ced82bd06edb9dd92fff23821
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. . . .
- Name
- 04 - encoding.pptx
- Size
- 1.41 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 406552e0853602af835c81b6b1379430
- Name
- 04 - preprocessing.pptx
- Size
- 2.19 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 2b3fdba0fef5301bf558f24e75f3bc1d
- Name
- 04 - encoding.mp4
- Size
- 213.4 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 8f19850fb3b860c7ae33fcabb95b0710
- Name
- 04 - preprocessing.mp4
- Size
- 360.61 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 3622a7433effc87691a0c9569172dab1
- Name
- 05 - visualization.pptx
- Size
- 1.83 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- bcd99c33f447d294b5f9c4e6e52e0cf8
- Name
- DH 5 - Text Analysis and Visualization.ipynb
- Size
- 4.14 MB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- f276c44b98fa341a24d9ca31886acc69
- Name
- 05 - visualization.mp4
- Size
- 213.42 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 0c376b3c593259e5194a85036f4ee78d
- Name
- DH 6 - tasks.txt
- Size
- 217 bytes
- Format
- Text file
- Description
- practical: install software and try it
- MD5
- 25142ba80b916e58971539e72696b06a
- Name
- 06 - image processing.pptx
- Size
- 35.43 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 0137f77f4238f1260af5e61450638c3f
- Name
- 06 - image processing.mp4
- Size
- 317.11 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- d55b26cfbe9bfba9735b866d35b25d36
- Name
- 07 - word embeddings.pptx
- Size
- 1.77 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- dae092598b01dc7b625b741529ffe0b0
- Name
- DH 7 - Text Analysis using Word Embeddings.ipynb
- Size
- 3.79 MB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- 356407cea813f1091ab3e8248dd162c3
- Name
- 07 - word embeddings.mp4
- Size
- 408.83 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 0aee43f06d816db7277a4727aeb75714
- Name
- 08 - assessment of DH.pptx
- Size
- 1.41 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- ca683fd7f400bb5f9b8aca9b83edd1b7
- Name
- 08 - evaluation.pptx
- Size
- 1.74 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- 903a6df99dc5689f2d802fa42e7f4c53
- Name
- DH 8 Evaluation.ipynb
- Size
- 125.93 KB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- d5dd363d32fca65df2d9f68c712b7799
- Name
- 08 - assessment of DH.mp4
- Size
- 167.9 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- 5d090befcdd4587faba6b94fd050d3d2
- Name
- 08 - evaluation.mp4
- Size
- 310.86 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- db78a5f1fbdbd846ef21e25545dc96d7
- Name
- DH 9 - tasks.txt
- Size
- 206 bytes
- Format
- Text file
- Description
- practical: read specification, try software
- MD5
- 035f6c659e05898ce4a14e8215d1ebf3
- Name
- 09 - metadata.pptx
- Size
- 1.52 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- a4ea7d32d598135f14a0936d65f46de2
- Name
- 09 - metadata.mp4
- Size
- 166.72 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- eb6eb300d2bb96317d521e9dcd294cd4
- Name
- 10 - infrastructure.pptx
- Size
- 1.6 MB
- Format
- Microsoft PowerPoint 2007
- Description
- slides
- MD5
- aae995facc889d6b3fd4f1884de7bf63
- Name
- DH 10 Complete Analysis.ipynb
- Size
- 1.08 MB
- Format
- Unknown
- Description
- practical: Jupyter Notebook
- MD5
- a44daee12a35f371d1520df4600c3488
- Name
- 10 - infrastructure.mp4
- Size
- 144.52 MB
- Format
- MPEG-4 video
- Description
- video
- MD5
- a9287093b10d9b9be300a21e171f6305
- Name
- key.json
- Size
- 2.25 KB
- Format
- Unknown
- Description
- example Google API key (not functional)
- MD5
- 6879dfd7056f793bc0d57468e6886f1e
- Name
- maj.txt
- Size
- 30.04 KB
- Format
- Text file
- Description
- example text for processing
- MD5
- 416fcf0323c8fd68a93771c2870db8ab
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 . . .