Sharing emotions at scale: The vent dataset

N Lykousas, C Patsakis, A Kaltenbrunner… - Proceedings of the …, 2019 - aaai.org
The continuous and increasing use of social media has enabled the expression of human
thoughts, opinions, and everyday actions publicly at an unprecedented scale. We present
the Vent dataset, the largest annotated dataset of text, emotions, and social connections to
date. It comprises more than 33 millions of posts by nearly a million users together with their
social connections. Each post has an associated emotion. There are 705 different emotions,
organized in 63 “emotion categories”, forming a two-level taxonomy of affects. Our initial …

[PDF][PDF] Sharing emotions at scale: The Vent dataset

NLCPA Kaltenbrunner, V Gómez - 2019 - researchgate.net
The continuous and increasing use of social media has enabled the expression of human
thoughts, opinions, and everyday actions publicly at an unprecedented scale. We present
the Vent dataset, the largest annotated dataset of text, emotions, and social connections to
date. It comprises more than 33 millions of posts by nearly a million users together with their
social connections. Each post has an associated emotion. There are 705 different emotions,
organized in 63 “emotion categories”, forming a two-level taxonomy of affects. Our initial …
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