Published June 7, 2023 | Version v1

Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data

  • 1. University of Washington

Description

These are the data and resources used for a Twitch Emote recommendation system using a Word2Vec model. The nature and exploration of the data is described in Emotes-2-Vec: A Large Scale Embedding of Twitch Chat Data. To protect the privacy of the users whose messages were scraped to build this corpus, names and timestamps have been removed and only the message bodies are included. However, a tutorial for this project is included on the project GitHub: https://github.com/KoroshM/Emote-Recommender.

embeddings.tsv and labeled_metadata.tsv may be used in TensorFlow's embedding projector to visualize the embedding space.

Note: Model files are the following:
embeddings.tsv
labeled_metadata.tsv
model
model.model**
model.wv.vectors.npy

**Located here: https://drive.google.com/drive/folders/1RZC4JA4CpAcwoo6dOwq_jobTd6dNi_n2?usp=sharing

Files

channel_names.txt

Files (10.1 GB)

Name Size
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9.5 MB Download
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25.6 kB Preview Download
md5:53cde000277f9a9d2d4712c94b136bb1
4.4 GB Preview Download
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4.2 GB Download
md5:b368cb0496618f6f6b4e2b162cf68c11
5.9 MB Download
md5:c41561bc4d90cdc0167e067a10bcfc2a
116.8 kB Download
md5:a82d8259a41bf77c795970318f09e62f
12.2 MB Download
md5:1d533c440e86553c1dbbc0e8512e3800
24.7 MB Download
md5:29fe872148c69d834fd8df4f590e1619
1.5 GB Download