Multimodal deep learning models for detecting dementia from speech and transcripts

L Ilias, D Askounis - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Alzheimer's dementia (AD) entails negative psychological, social, and economic
consequences not only for the patients but also for their families, relatives, and society in …

Explainable identification of dementia from transcripts using transformer networks

L Ilias, D Askounis - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the main cause of dementia which is accompanied by loss of
memory and may lead to severe consequences in peoples' everyday life if not diagnosed on …

Automatic identification and classification of bragging in social media

M Jin, D Preoţiuc-Pietro, AS Doğruöz… - arXiv preprint arXiv …, 2022 - arxiv.org
Bragging is a speech act employed with the goal of constructing a favorable self-image
through positive statements about oneself. It is widespread in daily communication and …

Point-of-interest type prediction using text and images

DS Villegas, N Aletras - arXiv preprint arXiv:2109.00602, 2021 - arxiv.org
Point-of-interest (POI) type prediction is the task of inferring the type of a place from where a
social media post was shared. Inferring a POI's type is useful for studies in computational …

Toward Multimodal Complaint Severity Detection From Social Media

A Singh, P Jha, S Das, R Jain… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The prevalence of complaints submitted online and the sheer volume of information made
available by social media platforms highlight the need for automated complaint analysis …

Knowing what and how: a multi-modal aspect-based framework for complaint detection

A Singh, V Gangwar, S Sharma, S Saha - European Conference on …, 2023 - Springer
With technological advancements, the proliferation of e-commerce websites and social
media platforms has created an avenue for customers to provide feedback to enterprises …

Complaint and severity identification from online financial content

A Singh, R Bhatia, S Saha - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The automatic detection of financial complaints (FINCORP) can benefit businesses and
online merchants. Compared with manually tagged complaints, they can use this information …

Dimensions of Online Conflict: Towards Modeling Agonism

M Canute, M Jin, A Lusoli, PR Adams… - arXiv preprint arXiv …, 2023 - arxiv.org
Agonism plays a vital role in democratic dialogue by fostering diverse perspectives and
robust discussions. Within the realm of online conflict there is another type: hateful …

Negative Review or Complaint? Exploring Interpretability in Financial Complaints

S Das, A Singh, S Saha… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the financial service sector, customer service is the most critical tool for long-term
business growth. A financial complaint detection (CD) system could aid in the identification …

Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection

A Singh, R Jain, P Jha, S Saha - … of the 61st Annual Meeting of …, 2023 - aclanthology.org
Complaining is an illocutionary act in which the speaker communicates his/her
dissatisfaction with a set of circumstances and holds the hearer (the complainee) …