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The language of happiness in self-reported descriptions of happy moments: Words, concepts, and entities

Linguistics and Languages

The language of happiness in self-reported descriptions of happy moments: Words, concepts, and entities

A. Moreno-ortiz, C. Pérez-hernández, et al.

Explore the fascinating language of happiness in this insightful study by Antonio Moreno-Ortiz, Chantal Pérez-Hernández, and María García-Gámez. Utilizing text analytics on the HappyDB corpus, the research uncovers how sentiment words and semantic classes reveal our sources of happiness, shining a light on the influence of commercial products and services. Dive in to discover the linguistic expressions that shape our joy!

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Playback language: English
Abstract
This article investigates the language of happiness from two perspectives: the role of sentiment words in self-reported descriptions and the identification of happiness sources. Analyzing the HappyDB corpus using text analytics, the study finds that positive lexical items play a limited role. Unsupervised machine learning extracts and clusters keywords, revealing semantic classes describing happiness sources. Named entity analysis highlights the importance of commercial products and services. The research provides methodological underpinnings for processing self-reported happy moments and contributes to understanding the linguistic expression of happiness.
Publisher
Humanities and Social Sciences Communications
Published On
Jul 05, 2022
Authors
Antonio Moreno-Ortiz, Chantal Pérez-Hernández, María García-Gámez
Tags
happiness
sentiment analysis
text analytics
HappyDB
machine learning
lexical items
semantic classes
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