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A multivalued emotion lexicon created and evaluated by the crowd

A multivalued emotion lexicon created and evaluated by the crowd
A multivalued emotion lexicon created and evaluated by the crowd

Sentiment analysis aims to uncover emotions conveyed through information. In its simplest form, it is performed on a polarity basis, where the goal is to classify information with positive or negative emotion. Recent research has explored more nuanced ways to perform emotion analysis. Unsupervised emotion analysis methods require a critical resource: a lexicon that is appropriate for the task at hand, in terms of the emotional range and diversity captured. Emotion analysis lexicons are created manually by domain experts and usually assign one single emotion to each word. We propose an automated workflow for creating and evaluating a multi-valued emotion lexicon created and evaluated through crowdsourcing. We compare the obtained lexicon with established lexicons and appoint expert English Linguists to assess crowd peer-evaluations. The proposed workflow provides a quality lexicon and can be used in a range of text property association tasks.

Beyond Polarity, Crowdsourcing, Lexicon Acquisition, Pure Emotion, Reddit, Sentiment Analysis, Twitter
355-362
Institute of Electrical and Electronics Engineers Inc.
Haralabopoulos, Giannis
b6c4f479-abc4-463b-a7df-6ee7e4758f53
Wagner, Christian
ddadb46d-8ff8-4519-ad5a-4efdf8c01888
McAuley, Derek
99690417-0414-495a-a745-db9fa1869a1c
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Haralabopoulos, Giannis
b6c4f479-abc4-463b-a7df-6ee7e4758f53
Wagner, Christian
ddadb46d-8ff8-4519-ad5a-4efdf8c01888
McAuley, Derek
99690417-0414-495a-a745-db9fa1869a1c
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67

Haralabopoulos, Giannis, Wagner, Christian, McAuley, Derek and Simperl, Elena (2018) A multivalued emotion lexicon created and evaluated by the crowd. In 2018 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018. Institute of Electrical and Electronics Engineers Inc. pp. 355-362 . (doi:10.1109/SNAMS.2018.8554956).

Record type: Conference or Workshop Item (Paper)

Abstract

Sentiment analysis aims to uncover emotions conveyed through information. In its simplest form, it is performed on a polarity basis, where the goal is to classify information with positive or negative emotion. Recent research has explored more nuanced ways to perform emotion analysis. Unsupervised emotion analysis methods require a critical resource: a lexicon that is appropriate for the task at hand, in terms of the emotional range and diversity captured. Emotion analysis lexicons are created manually by domain experts and usually assign one single emotion to each word. We propose an automated workflow for creating and evaluating a multi-valued emotion lexicon created and evaluated through crowdsourcing. We compare the obtained lexicon with established lexicons and appoint expert English Linguists to assess crowd peer-evaluations. The proposed workflow provides a quality lexicon and can be used in a range of text property association tasks.

Full text not available from this repository.

More information

e-pub ahead of print date: 30 November 2018
Venue - Dates: 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018, Valencia, Spain, 2018-10-15 - 2018-10-18
Keywords: Beyond Polarity, Crowdsourcing, Lexicon Acquisition, Pure Emotion, Reddit, Sentiment Analysis, Twitter

Identifiers

Local EPrints ID: 428022
URI: https://eprints.soton.ac.uk/id/eprint/428022
PURE UUID: 85233832-ea75-4735-b905-35fa04db4156
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 07 Feb 2019 17:30
Last modified: 15 Aug 2019 00:35

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