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Data · dataset · 2022

SemEval-2018 Task 1: Affect in Tweets

Listed in Hugging Face Datasets

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.

Description

This is a dataset for multilabel emotion classification for tweets. 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.' It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

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Topics

Stated by source
text classification
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsSemEvalWorkshop/sem_eval_2018_task_114 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0