Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons
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Abstract (arXiv)
Lexicons of word-emotion associations are widely used in research and real-world applications. As part of my research, I have created several such lexicons (e.g., the NRC Emotion Lexicon). This paper outlines some practical and ethical considerations involved in the effective use of these lexical resources.
Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Nov 2020.
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Citing papers per year: 2021: 6; 2022: 5; 2023: 2; 2024: 4.
17 papers.
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- 2022Best Practices in the Creation and Use of Emotion Lexiconscited by 27
- 2021Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysiscited by 22
- 2021Stylized Story Generation with Style-Guided Planningcited by 21
- 2021Emotion Dynamics in Movie Dialoguescited by 19
- 2023Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysiscited by 16
- 2021What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Studycited by 15
- 2024The Emotion Dynamics of Literary Novelscited by 12
- 2021PyPlutchik: visualising and comparing emotion-annotated corporacited by 6
- 2022Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexiconscited by 6
- 2024Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMscited by 5
- 2024Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Healthcited by 4
- 2024A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Mediacited by 1
5 more
- 2021Guilt by Association: Emotion Intensities in Lexical Representationscited by 0
- 2022Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canadacited by 0
- 2022LEXpander: applying colexification networks to automated lexicon expansioncited by 0
- 2022Affective Idiosyncratic Responses to Musiccited by 0
- 2023Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifierscited by 0
- 2024Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs24 Jul 2024
- 2024A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media10 Apr 2024
- 2024The Emotion Dynamics of Literary Novels4 Mar 2024
- 2024Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health4 Mar 2024
- 2023Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis3 Jun 2023
- 2023Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers6 Mar 2023
- 2022Affective Idiosyncratic Responses to Music17 Oct 2022
- 2022Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons13 Oct 2022
- 2022Best Practices in the Creation and Use of Emotion Lexicons13 Oct 2022
- 2022LEXpander: applying colexification networks to automated lexicon expansion31 May 2022
- 2022Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada11 Apr 2022
- 2021What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study10 Oct 2021
5 more
- 2021Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis17 Sep 2021
- 2021Stylized Story Generation with Style-Guided Planning18 May 2021
- 2021PyPlutchik: visualising and comparing emotion-annotated corpora19 Apr 2021
- 2021Guilt by Association: Emotion Intensities in Lexical Representations18 Apr 2021
- 2021Emotion Dynamics in Movie Dialogues1 Mar 2021
- 2022Best Practices in the Creation and Use of Emotion Lexiconscited by 27
- 2021Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysiscited by 22
- 2021Stylized Story Generation with Style-Guided Planningcited by 21
- 2021Emotion Dynamics in Movie Dialoguescited by 19
- 2023Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysiscited by 16
- 2021What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Studycited by 15
- 2024The Emotion Dynamics of Literary Novelscited by 12
- 2021PyPlutchik: visualising and comparing emotion-annotated corporacited by 6
- 2022Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexiconscited by 6
- 2024Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMscited by 5
- 2024Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Healthcited by 4
- 2024A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Mediacited by 1
12 most cited of 17 All 17 (JSON)
- 2024Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs24 Jul 2024
- 2024A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media10 Apr 2024
- 2024The Emotion Dynamics of Literary Novels4 Mar 2024
- 2024Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health4 Mar 2024
- 2023Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis3 Jun 2023
- 2023Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers6 Mar 2023
- 2022Affective Idiosyncratic Responses to Music17 Oct 2022
- 2022Frustratingly Easy Sentiment Analysis of Text Streams: Generating High-Quality Emotion Arcs Using Emotion Lexicons13 Oct 2022
- 2022Best Practices in the Creation and Use of Emotion Lexicons13 Oct 2022
- 2022LEXpander: applying colexification networks to automated lexicon expansion31 May 2022
- 2022Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada11 Apr 2022
- 2021What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study10 Oct 2021
12 newest of 17 All 17 (JSON)