Co Computat atio iona nal l Analy lysi sis s of f His istoric rical l Texts ts Rac achele ele Sprugn gnol oli sprugn ugnol oli@ i@fbk bk.eu .eu htt ttp:/ p://dh.fb /dh.fbk.e .eu https ps:// ://tw twitter itter.co .com/DH_F /DH_FBK BK
Corpus us of Alci cide De Gasperi ri writings: ngs: - collaboration with historians at ISIG, the Italian-German Historical Institute, http://isig.fbk.eu - interface designed* to help historians searching, extracting and analyzing information within texts using NLP tools *Thanks to our developer Giovanni Moretti :-)
Visualization based on metadata: date of publication Timeline to select Documents published in the period of the selected year (1914) Documents published during the WW1 interest
Visualization based on metadata: city of publication List of the 54 documents published in Trento Documents published in Trento during the WW1 during the WW1
Term Frequency search and retrieval Documents are pre-processed with an automatic part-of-speech tagger and a lemmatizer Documents published in 1914 containing the lemma “ guerra ”
Visualization of extracted keywords 2 visualizations of the first 20 keywords automatically extracted from the documents published in the period of interest Search suggestions based on the extracted keywords
Full text search Timeline to select the period of interest
Single document visualization 2 visualizations for keywords extracted from the document General sentiment (positive vs. negative) of the document
Automatic Named Entity Recognition
Te Tempora oral l Processing cessing for the Historical rical Domai ain not only spatial l analysis sis (GIS) but also tempora poral/event l/event analysis sis - what at ar are e ev even ents ts for histor orian ians? - what are the most t releva vant nt tempor oral al relations ons for histori orians? ans? - how ca can an automa omatic tic system em work in a cr cross- docum cument ent per erspective? ective? - what is the best visualiza alizatio tion n strategy gy for storyl rylines? ines?
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