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 …

Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare

A Adikari, D De Silva, H Moraliyage… - Future Generation …, 2022 - Elsevier
Healthcare systems across the world are transitioning into patient-centered healthcare
models to ensure improved health outcomes, increased operational efficiencies and …

An assessment of deep learning models and word embeddings for toxicity detection within online textual comments

D Dessì, DR Recupero, H Sack - Electronics, 2021 - mdpi.com
Today, increasing numbers of people are interacting online and a lot of textual comments
are being produced due to the explosion of online communication. However, a paramount …

Deep learning for predicting neutralities in offensive language identification dataset

M Sharma, I Kandasamy, V Kandasamy - Expert Systems with Applications, 2021 - Elsevier
Deep learning is advancing rapidly; it has aided in solving problems that were thought
impossible. Natural language understanding is one such task that has evolved with the …

Creation, analysis and evaluation of annomi, a dataset of expert-annotated counselling dialogues

Z Wu, S Balloccu, V Kumar, R Helaoui… - Future Internet, 2023 - mdpi.com
Research on the analysis of counselling conversations through natural language processing
methods has seen remarkable growth in recent years. However, the potential of this field is …

Sentiment analysis using lexico-semantic features

M Mohd, S Javeed, Nowsheena… - Journal of …, 2024 - journals.sagepub.com
Sentiment analysis of the text deals with the mining of the opinions of people from their
written communication. With the increasing usage of online social media platforms for user …

An abstraction layer exploiting voice assistant technologies for effective human—Robot interaction

R Alonso, E Concas, D Reforgiato Recupero - Applied Sciences, 2021 - mdpi.com
A lot of people have neuromuscular problems that affect their lives leading them to lose an
important degree of autonomy in their daily activities. When their disabilities do not involve …

[Retracted] Online Troll Reviewer Detection Using Deep Learning Techniques

MH Al-Adhaileh, THH Aldhyani… - Applied Bionics and …, 2022 - Wiley Online Library
The concentration of this paper is on detecting trolls among reviewers and users in online
discussions and link distribution on social news aggregators such as Reddit. Trolls, a subset …

Shedding Light on Software Engineering-specific Metaphors and Idioms

MM Imran, P Chatterjee, K Damevski - Proceedings of the IEEE/ACM …, 2024 - dl.acm.org
Use of figurative language, such as metaphors and idioms, is common in our daily-life
communications, and it can also be found in Software Engineering (SE) channels, such as …

Semantic role labeling for knowledge graph extraction from text

M Alam, A Gangemi, V Presutti… - Progress in Artificial …, 2021 - Springer
This paper introduces TakeFive, a new semantic role labeling method that transforms a text
into a frame-oriented knowledge graph. It performs dependency parsing, identifies the words …