
Hämäläinen, M., Rueter, J., & Alnajjar, K. (2024) Analyzing Pokémon and Mario Streamers' Twitch Chat with LLM-based User Embeddings. In The Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities This is a fixed version of the script. You need to install Chrome driver and customize "user-data-dir=/Users/mikahama/Library/Application Support/Google/Chrome/" to point to your Chrome profile. Run the script and follow the instructions. If you are here for the embeddings and clustering... Check out UralicNLP for embedding text using many different LLMs and semantic clustering.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
