| blog | https://finnaarupnielsen.wordpress.com/ |
Finn Årup Nielsen
@fnielsen@expressional.social
- 77 Followers
- 75 Following
- 165 Posts
HøringerLov om ophavsret (Indførelse af en præstationsbeskyttelse og beskyttelse mod digitalt genererede efterligninger mv.) #dkkultur https://hoeringsportalen.dk/Hearing/Details/70269
WikidataWikidataCon 2025: Call for Proposals open!
The Wikidata flagship event of the year, Wikidatacon 2025 is ready to receive your proposals! Submit now on Pretalx: https://pretalx.com/wikidatacon-2025/cfp
Register (free) to the event: https://www.wikidata.org/wiki/Special:RegisterForEvent/1340
See the WikidataCon Event page for more information: https://www.wikidata.org/wiki/Event:WikidataCon_2025
Egon WillighagenI have been nominated for a @biocurator career award. I feel honored and the nomination text is just awesome.
https://www.biocuration.org/voting-for-biocuration-career-awards-open/
https://www.biocuration.org/voting-for-biocuration-career-awards-open/
@wdscholia "Problem with SPARQL endpoint response and crawling on Toolforge" https://phabricator.wikimedia.org/T397570 #AIbroscrawling
@wdscholia It also means that our lookup for DOI and arXiv is not working... So a paper which is in #Wikidata might not be found by Scholia and an unsuspecting user will add the paper to Wikidata - again
We are currently experiencing som fairly serious problems with @wdscholia . There seems to be a bad bot operating on https://scholia.toolforge.org/ even though our robots.txt should prohibit it. It might be this that hinders a good connection to the SPARQL endpoint. Or perhaps it is just because most of our queries are to the legacy endpoint?
Random walk in the compound graph of Danish lexemes in #Wikidata https://finnaarupnielsen.wordpress.com/2025/06/17/random-walk-in-the-compound-graph-of-danish-lexemes-in-wikidata/
Are Turkish negative verbs independent lexemes? I have added: https://ordia.toolforge.org/L1463043
"...and AFINN demonstrating particular strength in negation handling" https://link.springer.com/chapter/10.1007/978-3-031-94153-5_21 And AFINN doesn't actually handle negation!?
Evaluating Lexicon-Based Sentiment Analysis Methods for Small Datasets on Low Compute Devices
This paper evaluates the effectiveness and computational efficiency of four lexicon-based sentiment analysis methods: AFINN, VADER, TextBlob, and SentiWordNet, on a resource-limited target device. We assessed each method’s sentiment classification accuracy,...