Hey!! thanks for the reply. I would probably recommend using open-source tools such as CorText for NLP tasks like TF-IDF and creating networks, Gephi [Lite] for visualizing those networks, or exploring Table2net if you already have a well-prepared CSV to work with.

💥 Excited to share that our new article, “Recalcitrant Audiencing: Between Analytics and Creative Practice in the Film Industry", is now out in Convergence! Co-authored with @akmunk.bsky.social 💥

journals.sagepub.com/doi/10.1177/...

Something is cooking at The Danish Technical Museum in Helsingør!
Together with a group of researchers and the museum we have built an exhibition with the title #GroundingAI that you can experience from tomorrow, 11.04.2025.
Learn more about the project here: grounding-ai.github.io

Do we need an anthropological theory of cultural specificity in Large Language Models? Come help us figure it out and do a PhD among fantastic colleagues @taschn.bsky.social, @sarahfls.bsky.social, @johansoltoft.bsky.social, @lionbeam.bsky.social, @anderspucknielsen.dk, @juliakkirkegaard.bsky.social

Hey @bsky.app! Newly started lab here. Focus on large-scale integrations of computational, qualitative, and participatory methods to study technology in society. Anchored at the Section for Human-Centred Innovation and the Division for Technology and Business Studies at DTU Management. Stay tuned.

I created this GitHub repository as a tutorial on how to create a datascape from large text materials. Made for an ECHOlab workshop on large-scale ethnographic data
You can find it here if you're interested in trying your hand at creating similar datascapes.
github.com/ECHOlab-DTU/...