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Weather Sentiment - Amazon Mechanical Turk dataset

Weather Sentiment - Amazon Mechanical Turk dataset
Weather Sentiment - Amazon Mechanical Turk dataset
Dataset re-collected using Amazon Mechanical Turk from an original dataset provided by CrowdFlower as part of the 2013 Crowdsourcing at Scale shared task challenge. The dataset contains 6000 classifications of the sentiment of 300 tweets, with gold-standard sentiment labels, provided by 110 workers. The sentiment judgements are provided in the following categories: negative (0), neutral (1), positive (2), tweet not related to weather (3) and can't tell (4). Each row contains workerID, taskID, Worker label, gold label, time spent by the worker to produce the judgment
University of Southampton
VENANZI, MATTEO
6c1596de-424e-48ef-8248-09c64a05a9fa
Teacy, William
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Rogers, Alexander
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30
VENANZI, MATTEO
6c1596de-424e-48ef-8248-09c64a05a9fa
Teacy, William
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Rogers, Alexander
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Jennings, Nicholas
ab3d94cc-247c-4545-9d1e-65873d6cdb30

VENANZI, MATTEO, Teacy, William, Rogers, Alexander and Jennings, Nicholas (2015) Weather Sentiment - Amazon Mechanical Turk dataset. University of Southampton [Dataset]

Record type: Dataset

Abstract

Dataset re-collected using Amazon Mechanical Turk from an original dataset provided by CrowdFlower as part of the 2013 Crowdsourcing at Scale shared task challenge. The dataset contains 6000 classifications of the sentiment of 300 tweets, with gold-standard sentiment labels, provided by 110 workers. The sentiment judgements are provided in the following categories: negative (0), neutral (1), positive (2), tweet not related to weather (3) and can't tell (4). Each row contains workerID, taskID, Worker label, gold label, time spent by the worker to produce the judgment

Other
WeatherSentiment_amt.csv - Dataset
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More information

Published date: 2015
Organisations: Electronics & Computer Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 376543
URI: https://eprints.soton.ac.uk/id/eprint/376543
PURE UUID: fbcfefa3-1648-4fa0-a9d0-e0a5dc534905

Catalogue record

Date deposited: 24 Apr 2015 16:38
Last modified: 10 Nov 2017 06:20

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Contributors

Creator: MATTEO VENANZI
Creator: William Teacy
Creator: Alexander Rogers
Creator: Nicholas Jennings

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