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Data · dataset · 2015

Sentiment popularity - Amazon Mechanical Turk dataset

Listed in University of Southampton Institutional Research Repository

<span style='white-space:pre-line'>Dataset re-collected from an original dataset collected by Pang, B., and Lee, L. 2004. &quot;A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts&quot;.

Description

In Proceedings of the 42nd annual meeting on Association for Computational Linguistics. The dataset presents a binary classification problem, with workers asked to select either positive (1) or negative (0) for a 500 sentences extracted from movie reviews, with gold labels assigned by the website.

It contains 10,000 sentiment judgements collected from 143 using the Amazon Mechanical Turk platform. Each row is in the format WorkerID, TaskID, Worker label, Gold label, time spent on the judgement by the worker</span>

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Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science
Provenance · 1 source records, 4 field assertions
SourceKeyLast seenRaw
University of Southampton Institutional Research Repositoryoai:eprints.soton.ac.uk:3765447 h agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · eprints soton ac ukconnector:eprints_soton_ac_uk@1.0.0
descriptionsource · eprints soton ac ukconnector:eprints_soton_ac_uk@1.0.0/metadata/dc/description
publication_datesource · eprints soton ac ukconnector:eprints_soton_ac_uk@1.0.0
titlesource · eprints soton ac ukconnector:eprints_soton_ac_uk@1.0.0/metadata/dc/title