ILAS2025
  • Home
  • Taiwan
    Plan your trip Local
  • Registration
    Social events Student support
  • Program
    Schedule Plenary speakers Mini-symposia and early career speakers Contributed talks and posters Talks similarity dashboard
  • About
    LOGO Inclusiveness statement
  • LAA special issue
Talks similarity dashboard

Talks similarity dashboard

Talks Similarity Dashboard is an experimental web application that explores semantic relationships between academic talk titles and abstracts using natural language processing techniques. This project leverages large-scale language models and dimensionality reduction via t-SNE to map the textual content of talks into a two-dimensional interactive space. The closer two points are, the more similar their content is — enabling users to intuitively explore clustering tendencies, thematic overlaps, or outliers among submissions. While still a prototype, the project serves as a testbed for experimenting with embeddings, visualization strategies, and interaction design in the context of academic data exploration.

For further exploration, please feel free to visit the following link: https://ilas2025-talks.streamlit.app

Notice:

  1. Due to screen size limitations, we recommend accessing the application on a computer or tablet for an optimal experience.
  2. If the application appears to be in sleep mode, please click “Restart” to reactivate it.
© ILAS2025