activity
20182020
most citedMultimodal Emotion Classification

31 citations · 81 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2020

Predicting Early Indicators of Cognitive Decline from Verbal Utterances

Swati Padhee, Anurag Illendula, Megan Sadler +4

Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clini…

cs.SI2019★ 28 cited

Hate begets Hate: A Temporal Study of Hate Speech

Binny Mathew, Anurag Illendula, Punyajoy Saha +3

With the ongoing debate on 'freedom of speech' vs. 'hate speech' there is an urgent need to carefully understand the consequences of the inevitable culmination of the two, i.e., 'f…

cs.CV2019★ 31 cited

Multimodal Emotion Classification

Anurag Illendula, Amit Sheth

Most NLP and Computer Vision tasks are limited to scarcity of labelled data. In social media emotion classification and other related tasks, hashtags have been used as indicators t…

cs.CV2018

Which Emoji Talks Best for My Picture?

Anurag Illendula, Kv Manohar, Manish Reddy Yedulla

Emojis have evolved as complementary sources for expressing emotion in social-media platforms where posts are mostly composed of texts and images. In order to increase the expressi…

cs.SI2018★ 9 cited

Learning Emoji Embeddings using Emoji Co-occurrence Network Graph

Anurag Illendula, Manish Reddy Yedulla

Usage of emoji in social media platforms has seen a rapid increase over the last few years. Majority of the social media posts are laden with emoji and users often use more than on…

cs.SI2018★ 13 cited

"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding

Ugur Kursuncu, Manas Gaur, Usha Lokala +5

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing infor…