Digital histories Workshop 1: introduction K. Navickas.
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Transcript of Digital histories Workshop 1: introduction K. Navickas.
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Digital histories
Workshop 1: introduction
K. Navickas
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Searching for information and making notes before digitised sources
Dewey catalogue
Card catalogue
My notes, organised by where I read the information, and their cataloguing system
A bit of a gamble if I get what I want/looking for
Boxes of books & archives
County record office;Library;National Archives
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Searching for information and making notes after digitisation – googlerisation?
Digitised archives and newspapers from all over the world
Download them to my own computerWrite notes on computer – or annotate files
Still a gamble to find what I want…
Catalogue system – online- could be determined by original order of the repository- could be completely new system- no system? – e.g. flickr collections – crowdsource tagging
What archives available dependent on what is digitised – dependent on funding, conservation; volunteers
Pay to access?
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Metadata old style: Leonard Bloomfield, Language (New York: Holt, Rhinehart & Wilson,
1933)Document type Book
Last name of author Bloomfield
First name of author Leonard
Year of publication 1933
Title Language
City New York
Publisher Holt, Rhinehart & Wilson
http://exchanges.history-compass.com/2010/03/30/doing-local-history-card-catalogues-manual-searches-and-historiography/
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Metadata now: View page source and see the html or the xml schema
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FAQ for the Burney collection of 17th and 18th century newspapers
http://gdc.gale.com/products/17th-and-18th-century-burney-collection-newspapers/acquire-implement/faqs/#raw-text
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This Day wvii) he offered to publick TnfivtiG , a: a commudiot.s ,]oom, oppoflte the New Inn, Surry S .l of 'W;liL initer Bridge, at is. each, the Ethiopian Sav:;ge. I his aftrinihiriag Animal is of a different Species fi-om any ever feen in Etirope, and feenrs to hie the Link betwcen tile R;:;ion:l and 1,> ut, Ci-eation, as he is a ftriking Relinbl!ance of the Huma: Species, and is allQwcd to lio thle g~reateft *:urioG~y ever exhijib-J. in Lnoiantd. lligl: \Varer- tlls Ddy at l om.,. n-Isridge, i lt C illiiitcs aIter S inl thc Mood nig, andl at Minotes .:ter 5 in rtie Ahternonit. B> 111; :>ocsZ 109, 4 lIper (t. t I -6 , 6?', k a ' hIdia ditto, - 4 per Ct. 17',"', 7' T South Sea b3itto, - Ind. Bctin;, Ss d IOS. Dif, Ditto Old Ann. `o § Navy and Vi&t. Pi:is.- )itto New Ann. - Long Annuities, ita I 3 :ier Ct. 13k. red. 6 oEl a 6ai c Short ditto x77S, 3 C rCt. Cf. 6xz a i Scrip, 62 Ditto 1724, - Omniniu, - Ditto 1751, A-nti. 17ZS, 13 3 . AnCt. 7_
OCR text from the Burney newspaper collection – what on earth is it saying?
OCR is rubbish with tables and old fonts
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Big data?• From ‘computing and history’ to data and text
mining, corpus linguistics, topic modelling• Are we moving from ‘close reading’ to ‘distant
reading’?Methods:• N-grams – finding the proportion of occurrence of
a word in a corpus of texts• Topic-modelling - assessing probability of
occurrence of a group of words within a textStudy:• ‘culturomics’
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Google n-gram viewer
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Topic- modelling in Mining the Dispatch