Issues and challenges of aspect-based sentiment analysis: A comprehensive survey
The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …
sentiments are analysed and sentiments are evolved over time, is getting much attention …
A transformer-based approach to irony and sarcasm detection
RA Potamias, G Siolas, AG Stafylopatis - Neural Computing and …, 2020 - Springer
Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
Exploring preferences and sustainable attitudes of Airbnb green users in the review comments and ratings: A text mining approach
The sharing economy platforms for accommodation have emerged as a disruptive model
that has revolutionized the tourist lodging sector and modified tourist consumption patterns …
that has revolutionized the tourist lodging sector and modified tourist consumption patterns …
Machine learning based aspect level sentiment analysis for Amazon products
The field of sentiment analysis is widely utilized for analyzing the text data and then
extracting the sentiment component out of that. The online commercial websites generates a …
extracting the sentiment component out of that. The online commercial websites generates a …
Applications and challenges of SA in real-life scenarios
Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …
created over decades of research. However, its applications to the real world are a driving …
Sentimental matters-predicting literary quality by sentiment analysis and stylometric features
Y Bizzoni, P Moreira, MR Thomsen… - Proceedings of the 13th …, 2023 - aclanthology.org
Over the years, the task of predicting reader appreciation or literary quality has been the
object of several studies, but it remains a challenging problem in quantitative literary studies …
object of several studies, but it remains a challenging problem in quantitative literary studies …
Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm
Our emotions and sentiments are influenced by naturalistic stimuli such as the movies we
watch and the songs we listen to, accompanied by changes in our brain activation …
watch and the songs we listen to, accompanied by changes in our brain activation …
Appraisal theories for emotion classification in text
J Hofmann, E Troiano, K Sassenberg… - arXiv preprint arXiv …, 2020 - arxiv.org
Automatic emotion categorization has been predominantly formulated as text classification
in which textual units are assigned to an emotion from a predefined inventory, for instance …
in which textual units are assigned to an emotion from a predefined inventory, for instance …
Decoding violence against women: analysing harassment in middle eastern literature with machine learning and sentiment analysis
HQ Low, P Keikhosrokiani, M Pourya Asl - Humanities and Social …, 2024 - nature.com
The rising prevalence of harassment in Middle Eastern countries is mirrored in literary works
from the region. However, extracting data from these texts to understand the typology and …
from the region. However, extracting data from these texts to understand the typology and …
Computational emotion classification for genre corpora of German tragedies and comedies from 17th to early 19th century
K Dennerlein, T Schmidt, C Wolff - Digital Scholarship in the …, 2023 - academic.oup.com
This article presents a method of emotion analysis for German drama from the 17th to the
19th century that significantly goes beyond previous research approaches in computational …
19th century that significantly goes beyond previous research approaches in computational …