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Monthly Archives: November 2020
Considerations about corpus-dependency of topic modelling with Mallet
By Sara Garzone and Nicola Ruschena In the context of text mining, topic modelling analyses co-occurrence patterns among textual data, in order to isolate clusters from the set of expressions occurring in a corpus. Topic modelling aims at extracting topics … Continue reading
Posted in Data-Driven Research, Text mining
2 Comments
Three-day on-line conference, Nov. 23-24-25, 2020
We are pleased to give notice of the next three-day conference organised by the Digital Humanities department at the University of Basel: “Digital Practices. Reading, writing and evaluation on the web”. The conference will take place online, November 23–25, 2020. … Continue reading
Posted in Digital Humanities, Quantitative methods, Uncategorized
Comments Off on Three-day on-line conference, Nov. 23-24-25, 2020