5 citations · 16 across the 10 of their papers we have counts for
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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…