Top Tweets for #kbrlab
Been calculating the approximate data sizes of @kbrbe digitised newspapers with @WoutDLN wow! #alotofdata #kbrlab
@_shengche mentions the @ProgHist lesson on topic modelling with mallet https://t.co/25MEPOMK0X #DATeCH2019 #kbrlab
Happy to introduce #topicmodeling for @_shengche hands-on lab, last talk of #datech2019 at #kbrlab @kbrbe
Nice! @_shengche mentions again that he is against removing stop words for data analysis - and he quotes Shakespeare "to be or not to be" ... #DATeCH2019 #kbrlab
Very nice! @juliebirkholz mentions the Text Analysis Resources from Berkeley https://t.co/466kyz1Or2 #datech2019 #kbrlab
Now @juliebirkholz now giving us an overview of digital text analysis tools and methods #DATeCH2019 #dhugent #kbrlab
Now @SinaiRusinek and @CARomein are leading us through the online version of @Transkribus with a special collection for #DATeCH2019 #cool #kbrlab
@kdepuydt asks whether the @impactocr groundtruth data has been used to train @Transkribus ? Does anyone know? #DATeCH2019 #kbrlab
Want 24/7 support for using @Transkribus check out the @Transkribus Users Facebook Group #DATeCH2019 #kbrlab
@CARomein mentions that texts with mixed languages can be challenging for @Transkribus but more data is needed to improve the functionality #DATeCH2019 #kbrlab
@RubenRos8 shares his experiences on learning to code as a historian with R and Python #cool #DATeCH2019 #kbrlab
@RubenRos8 explaining how he used @KBNLresearch Newspapers Ngram viewer https://t.co/S0uoLJFQE4 #datech2019 #kbrlab
Now @_shengche and @RubenRos8 showing how they got access to the data of the 4 newspaper corpora #datech2019 #kbrlab
Lots of questions from the audience about the clustering bigrams for @_shengche and @RubenRos8 #datech2019 #kbrlab
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