5 citations · 16 across the 10 of their papers we have counts for
10 papers
Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
Nastaran Dab, Raziyeh Zall, Mohammadreza Kangavari
Multimodal affective computing analyzes user-generated social media content to predict emotional states. However, a critical gap remains in understanding how visual content shapes…
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets
Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani
This paper is a comparison study in the context of Topic Detection on COVID-19 data. There are various approaches for Topic Detection, among which the Clustering approach is select…
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
Sana Rahmani, Saeid Hosseini, Raziyeh Zall +3
Multimodal sentiment analysis benefits various applications such as human-computer interaction and recommendation systems. It aims to infer the users' bipolar ideas using visual, t…
Cognitive-aware Short-text Understanding for Inferring Professions
Sayna Esmailzadeh, Saeid Hosseini, Mohammad Reza Kangavari +1
Leveraging short-text contents to estimate the occupation of microblog authors has significant gains in many applications. Yet challenges abound. Firstly brief textual contents com…
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble
Sara Kamran, Raziyeh Zall, Mohammad Reza Kangavari +3
The latent knowledge in the emotions and the opinions of the individuals that are manifested via social networks are crucial to numerous applications including social management, d…
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
Saeed Najafipour, Saeid Hosseini, Wen Hua +2
Linking authors of short-text contents has important usages in many applications, including Named Entity Recognition (NER) and human community detection. However, certain challenge…