Automatically Computing Connotative Shifts of Lexical Items

Valerio Basile; Tommaso Caselli; Anna Koufakou; Viviana Patti

doi:10.1007/978-3-031-08473-7_39

Automatically Computing Connotative Shifts of Lexical Items

Valerio Basile^*, Tommaso Caselli, Anna Koufakou, Viviana Patti

^*Corresponding author for this work

Computational Linguistics (CL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

206 Downloads (Pure)

Abstract

Connotation is a dimension of lexical meaning at the semantic-pragmatic interface. Connotations can be used to express point of views, perspectives, and implied emotional associations. Variations in connotations of the same lexical item can occur at different level of analysis: from individuals, to community of speech, specific domains, and even time. In this paper, we present a simple yet effective method to assign connotative values to selected target items and to quantify connotation shifts. We test our method via a set of experiments using different social media data (Reddit and Twitter) and languages (English and Italian). While we kept the connotative axis (i.e., the polarity associated to a lexical item) fixed, we investigated connotation shifts along two dimensions: the first target shifts across communities of speech and domain while the second targets shifts in time. Our results indicate the validity of the proposed method and its potential application for the identification of connotation shifts and application to automatically induce specific connotation lexica.

Original language	English
Title of host publication	Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings
Editors	Paolo Rosso, Valerio Basile, Raquel Martínez, Elisabeth Métais, Farid Meziane
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	425-436
Number of pages	12
ISBN (Print)	9783031084720
DOIs	https://doi.org/10.1007/978-3-031-08473-7_39
Publication status	Published - 2022
Event	27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022 - Valencia, Spain Duration: 15-Jun-2022 → 17-Jun-2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13286 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022
Country/Territory	Spain
City	Valencia
Period	15/06/2022 → 17/06/2022

Keywords

Connotative shift
Social media
Word embeddings

Access to Document

10.1007/978-3-031-08473-7_39

Automatically Computing Connotative Shifts of Lexical ItemsFinal publisher's version, 875 KBLicence: Taverne

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Cite this

Basile, V., Caselli, T., Koufakou, A., & Patti, V. (2022). Automatically Computing Connotative Shifts of Lexical Items. In P. Rosso, V. Basile, R. Martínez, E. Métais, & F. Meziane (Eds.), Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings (pp. 425-436). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13286 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08473-7_39

Basile, Valerio ; Caselli, Tommaso ; Koufakou, Anna et al. / Automatically Computing Connotative Shifts of Lexical Items. Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings. editor / Paolo Rosso ; Valerio Basile ; Raquel Martínez ; Elisabeth Métais ; Farid Meziane. Springer Science and Business Media Deutschland GmbH, 2022. pp. 425-436 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Valerio Basile and Tommaso Caselli and Anna Koufakou and Viviana Patti",

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Basile, V, Caselli, T, Koufakou, A & Patti, V 2022, Automatically Computing Connotative Shifts of Lexical Items. in P Rosso, V Basile, R Martínez, E Métais & F Meziane (eds), Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13286 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 425-436, 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, 15/06/2022. https://doi.org/10.1007/978-3-031-08473-7_39

Automatically Computing Connotative Shifts of Lexical Items. / Basile, Valerio; Caselli, Tommaso; Koufakou, Anna et al.
Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings. ed. / Paolo Rosso; Valerio Basile; Raquel Martínez; Elisabeth Métais; Farid Meziane. Springer Science and Business Media Deutschland GmbH, 2022. p. 425-436 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13286 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Basile, Valerio

AU - Caselli, Tommaso

AU - Koufakou, Anna

AU - Patti, Viviana

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AB - Connotation is a dimension of lexical meaning at the semantic-pragmatic interface. Connotations can be used to express point of views, perspectives, and implied emotional associations. Variations in connotations of the same lexical item can occur at different level of analysis: from individuals, to community of speech, specific domains, and even time. In this paper, we present a simple yet effective method to assign connotative values to selected target items and to quantify connotation shifts. We test our method via a set of experiments using different social media data (Reddit and Twitter) and languages (English and Italian). While we kept the connotative axis (i.e., the polarity associated to a lexical item) fixed, we investigated connotation shifts along two dimensions: the first target shifts across communities of speech and domain while the second targets shifts in time. Our results indicate the validity of the proposed method and its potential application for the identification of connotation shifts and application to automatically induce specific connotation lexica.

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Basile V, Caselli T, Koufakou A, Patti V. Automatically Computing Connotative Shifts of Lexical Items. In Rosso P, Basile V, Martínez R, Métais E, Meziane F, editors, Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 425-436. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Jun 13. doi: 10.1007/978-3-031-08473-7_39