Section outline

  • Highlighted
    • Le16 - Fri Nov 29, 2024 Semantic networks; Data collection: Reddit and TikTok; Data preprocessing and SpaCy; Building the semantic network; the role of TF-IDF; Topic detection; A comparison between InfoMap and Louvain.

    • Le17 - Wed Dec 4, 2024 Lab #1 scraping data from Reddit and TikTok by Sina Tavakoli.

    • Le18 - Fri Dec 6, 2024 Lab #2 topic detection from textual data.

    • Le19 - Mon Dec 9, 2024 classroom Pe, 14:30 Feedback on projects (IPs and non IPs) -  only for those needing a feedback

    • Le20 - Wed Dec 11, 2024 A comparison between Louvain, Infomap, the spe ctral approach, DCSBMs and BIGClam; The trasnformer architecture: BERT, BERTA, GPT-2, and GPT-3 models; BERTopic model and its performance; Sentiment analysis: an overview; LIWC categories; BERTAgent; Using sentiment analysis.

    • Le21 - Fri Dec 13, 2024 Lab #3 network visualisation in Python by Lejla Dzanko

    • Le22 - Wed Dec 18, 2024 The non-negative matrix factorization approach; generalized Kullback-Leibler divergence metric; Latent Dirichlet allocation: statistical model; Variational auto-encoders and the ELBO function; VAE for topic detection: NVDM, ProdLDA, DirVAE, NFTM, and NBVAE models.

    • Le23 - Fri Dec 20, 2024 Lab #4 network visualisation in Gephi by Lejla Dzanko

    • Le24 - Wed Jan 8, 2025  Homophily and related concepts: Selective exposure, Polarization, Ego Chamber, Filter bubble; Degree homophily or assortativity; the correlation matrix; Nearest neighbour degree function and its exponent; Structural disassortativity; Structural and natural cutoffs; Random rewiring; Network robustness; Robustness of scale-free networks; Attack tolerance; Robustness optimization; An application example.

    • Le25 - Thu Jan 16, 2025 - DISLL, classroom 11 Feedback to interdisciplinary projects.