A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations
In the era of social media, consumers interact and exchange information, subjective
opinions, feelings or thoughts about a given issue, a product or a service, via Web 2.0 …
opinions, feelings or thoughts about a given issue, a product or a service, via Web 2.0 …
XLM-EMO: Multilingual emotion prediction in social media text
Detecting emotion in text allows social and computational scientists to study how people
behave and react to online events. However, develo** these tools for different languages …
behave and react to online events. However, develo** these tools for different languages …
The skipped beat: A study of sociopragmatic understanding in llms for 64 languages
Instruction tuned large language models (LLMs), such as ChatGPT, demonstrate remarkable
performance in a wide range of tasks. Despite numerous recent studies that examine the …
performance in a wide range of tasks. Despite numerous recent studies that examine the …
The Populist Dynamic: Experimental Evidence on the Effects of Countering Populism
We evaluate how traditional parties may respond to populist parties on issues aligning with
populist messages. During the 2020 Italian referendum on the reduction of members of …
populist messages. During the 2020 Italian referendum on the reduction of members of …
[HTML][HTML] A computational analysis of transcribed speech of people living with dementia: The Anchise 2022 Corpus
Introduction Automatic linguistic analysis can provide cost-effective, valuable clues to the
diagnosis of cognitive difficulties and to therapeutic practice, and hence impact positively on …
diagnosis of cognitive difficulties and to therapeutic practice, and hence impact positively on …
Contrarian effect in opinion forming: Insights from Greta Thunberg phenomenon
In recent months, the figure of Greta Thunberg and the theme of climate changings quickly
became the focus of the debate. This has led to a polarization effect in opinion forming about …
became the focus of the debate. This has led to a polarization effect in opinion forming about …
Multi-source multi-domain sentiment analysis with BERT-based models
Sentiment analysis is one of the most widely studied tasks in natural language processing.
While BERT-based models have achieved state-of-the-art results in this task, little attention …
While BERT-based models have achieved state-of-the-art results in this task, little attention …
A (psycho-) linguistically motivated scheme for annotating and exploring emotions in a genre-diverse corpus
A Etienne, D Battistelli, G Lecorvé - 13th Conference on Language …, 2022 - hal.science
This paper presents a scheme for emotion annotation and its manual application on a genre-
diverse corpus of texts written in French. The methodology introduced here emphasizes the …
diverse corpus of texts written in French. The methodology introduced here emphasizes the …
[HTML][HTML] Concerns around opposition to the green pass in Italy: social listening analysis by using a mixed methods approach
Background The recent introduction of COVID-19 certificates in several countries, including
the introduction of the European green pass, has been met with protests and concerns by a …
the introduction of the European green pass, has been met with protests and concerns by a …
Characterizing the patient experience of physical restraint in psychiatric settings via a linguistic, sentiment, and metaphor analysis
Physical Restraint (PR) is a coercive procedure used in emergency psychiatric care to
ensure safety in life-threatening situations. Because of its traumatic nature, studies …
ensure safety in life-threatening situations. Because of its traumatic nature, studies …