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Sharath Chandra Guntuku

6 accepted papers

2025

Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination

NAACL 2025findings

While affective expressions on social media have been extensively studied, most research has focused on the Western context. This paper explores cultural differences in affective expressions by comparing valence and arousal on Twitter/X (geolocated to the US) and Sina Weibo (in Mainland China). Usin…

2025

Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice

NAACL 2025long

Shame and pride are social emotions expressed across cultures to motivate and regulate people’s thoughts, feelings, and behaviors. In this paper, we introduce the first cross-cultural dataset of over 10k shame/pride-related expressions with underlying social expectations from ~5.4K Bollywood and Hol…

Cited by 1SourcePDFScholar
2025

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

ICASSP 2025accepted

Crime prediction (CP) plays a pivotal role in urban analytics, contributing significantly to personal safety and societal stability. Unlike conventional time series forecasting, CP faces unique difficulties due to the inherent sparsity of crime incidents, particularly within small spatial regions an…

Cited by 0SourceScholar
2024

Building Knowledge-Guided Lexica to Model Cultural Variation

NAACL 2024long

Cultural variation exists between nations (e.g., the United States vs. China), but also within regions (e.g., California vs. Texas, Los Angeles vs. San Francisco). Measuring this regional cultural variation can illuminate how and why people think and behave differently. Historically, it has been dif…

2023

An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives

EMNLP 2023long main

Mental health conversational agents (a.k.a. chatbots) are widely studied for their potential to offer accessible support to those experiencing mental health challenges. Previous surveys on the topic primarily consider papers published in either computer science or medicine, leading to a divide in un…

Cited by 0SourcecodeScholar
2021

Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning

ICASSP 2021accepted

We propose a two-stage Convolutional Neural Network (CNN) based classification framework for detecting COVID-19 and Community Acquired Pneumonia (CAP) using the chest Computed Tomography (CT) scan images. In the first stage, an infection - COVID-19 or CAP, is detected using a pre-trained DenseNet ar…

Cited by 0SourceScholar