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 e...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/56075/ |
| _version_ | 1848799267894853632 |
|---|---|
| author | Haralabopoulos, Giannis Wagner, Christian McAuley, Derek Simperl, Elena |
| author_facet | Haralabopoulos, Giannis Wagner, Christian McAuley, Derek Simperl, Elena |
| author_sort | Haralabopoulos, Giannis |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:32:57Z |
| format | Conference or Workshop Item |
| id | nottingham-56075 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:32:57Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-560752019-02-06T14:54:55Z https://eprints.nottingham.ac.uk/56075/ A multivalued emotion lexicon created and evaluated by the crowd Haralabopoulos, Giannis Wagner, Christian McAuley, Derek Simperl, Elena 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. 2018-10-15 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/56075/1/A_multi_valued_emotion_lexicon_created_and_evaluated_by_the_crowd.pdf Haralabopoulos, Giannis, Wagner, Christian, McAuley, Derek and Simperl, Elena (2018) A multivalued emotion lexicon created and evaluated by the crowd. In: The Fifth International Conference on Social Networks Analysis, Management and Security, 15-18 Oct 2018, Valencia, Spain. Crowdsourcing Beyond Polarity Pure Emotion Sentiment Analysis Lexicon Acquisition Reddit Twitter |
| spellingShingle | Crowdsourcing Beyond Polarity Pure Emotion Sentiment Analysis Lexicon Acquisition Haralabopoulos, Giannis Wagner, Christian McAuley, Derek Simperl, Elena A multivalued emotion lexicon created and evaluated by the crowd |
| title | A multivalued emotion lexicon created and evaluated by the crowd |
| title_full | A multivalued emotion lexicon created and evaluated by the crowd |
| title_fullStr | A multivalued emotion lexicon created and evaluated by the crowd |
| title_full_unstemmed | A multivalued emotion lexicon created and evaluated by the crowd |
| title_short | A multivalued emotion lexicon created and evaluated by the crowd |
| title_sort | multivalued emotion lexicon created and evaluated by the crowd |
| topic | Crowdsourcing Beyond Polarity Pure Emotion Sentiment Analysis Lexicon Acquisition |
| url | https://eprints.nottingham.ac.uk/56075/ |