Emotions greatly impact how people behave, leading researchers to explore these aspects in psychology and linguistics.
For example, businesses can strengthen their connection with customers, while non-profits can encourage quicker action by skillfully using prominent emotions.
This linguistic method, known as colexification analysis, innovatively explores indirect semantic associations without requiring additional data.
A new discovery
In a groundbreaking discovery, researchers have pinpointed emotional hubs that span various languages.
Their study delved into word associations using a "colexification network" and highlighted emotions like "GOOD," "WANT," "BAD," and "LOVE," which showed the most connections with other emotion-related words.
The team established a network linking concepts in multiple languages, with the strength of these connections reflecting colexification.
The study clarifies that colexification occurs when a single word has multiple meanings.
For instance, the Spanish word "malo" conveys both "BAD" and "SEVERE," illustrating the concept of colexification.
This finding by the researchers aligns with the universality of emotions, as three of the identified emotions correlate with core emotions identified through traditional methods and natural semantic metalanguage.
Why it's important
This study provides valuable insights into the evolution of language and cross-cultural communication, emphasizing the intricate connection between words and emotions.
The significance of these findings extends to the field of natural language processing, offering support for sentiment analyses and contributing to the advancement of language processing algorithms and large language models.
As online communication continues to grow, these implications become increasingly valuable.
Previously, we talked about childhood traumas.
