Interactive engagement through travel and tourism social media groups: A social facilitation theory perspective

MA Camilleri, M Kozak - Technology in Society, 2022 - Elsevier
This research investigates perceptions about online content attractiveness, interactive
engagement and real time conversation capabilities through travel and tourism social media …

Automatic sarcasm detection: Systematic literature review

AC Băroiu, Ș Trăușan-Matu - Information, 2022 - mdpi.com
Sarcasm is an integral part of human language and culture. Naturally, it has garnered great
interest from researchers from varied fields of study, including Artificial Intelligence …

Understanding consumer engagement with brand posts on social media: The effects of post linguistic styles

Q Deng, MJ Hine, S Ji, Y Wang - Electronic Commerce Research and …, 2021 - Elsevier
Creating brand posts that stimulate consumer engagement on social media is both vital and
challenging to digital marketers. Despite previous research on this topic, to date, little is …

A survey on pragmatic processing techniques

R Mao, M Ge, S Han, W Li, K He, L Zhu, E Cambria - Information Fusion, 2025 - Elsevier
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Multimodal sarcasm detection: a deep learning approach

SK Bharti, RK Gupta, PK Shukla… - Wireless …, 2022 - Wiley Online Library
In the modern era, posting sarcastic comments on social media became the common trend.
Sarcasm is often used by people to taunt or pester others. It is frequently expressed through …

Transformer-based word embedding with CNN model to detect sarcasm and irony

R Ahuja, SC Sharma - Arabian Journal for Science and Engineering, 2022 - Springer
Accurate semantic illustrations of text data and conclusive information extraction are major
strides towards correct computation of sentence meaning, particularly for figurative …

An intelligent machine learning-based sarcasm detection and classification model on social networks

D Vinoth, P Prabhavathy - The Journal of Supercomputing, 2022 - Springer
Due to the exponential increase in Internet usage, sarcasm detection has gained significant
attention in online social networking platforms. Sarcasm is a linguistic expression of dislikes …

A study of machine learning-based models for detection, control, and mitigation of cyberbullying in online social media

R Kumar, A Bhat - International Journal of Information Security, 2022 - Springer
Online social media (OSM) is an integral part of human life these days. Significantly, the
young generation spends most of their time on social media in an active and passive state …

Sarcasm detection of textual data on online socialmedia: A review

A Bhat, GN Jha - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
This paper refers to the sarcasm detection process and approaches and comparison of
results on various models and datasets. Sarcasm refers to the phrases which indicates …

Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective

RT Gedela, P Meesala, U Baruah, B Soni - Soft Computing, 2024 - Springer
Past research suggests pre-trained word embedding strategies to assess and determine
feelings conveyed in various text documents. However, using a single word embedding …