The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

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 doi:10.5258/SOTON/376543 [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

Text
WeatherSentiment_amt.csv - Dataset
Download (187kB)

More information

Published date: 2015
Related URLs:
Organisations: Electronics & Computer Science, Agents, Interactions & Complexity
Learn more about Electronics & Computer Science research Learn more about Agents, Interactions & Complexity research

Identifiers

Local EPrints ID: 376543
URI: http://eprints.soton.ac.uk/id/eprint/376543
DOI: doi:10.5258/SOTON/376543
PURE UUID: fbcfefa3-1648-4fa0-a9d0-e0a5dc534905

Catalogue record

Date deposited: 24 Apr 2015 16:38
Last modified: 04 Nov 2023 06:49

Export record

Altmetrics

Contributors

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

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×