Search Results for author: Meysam Asgari-Chenaghlu

Found 12 papers, 3 papers with code

ConvGenVisMo: Evaluation of Conversational Generative Vision Models

1 code implementation28 May 2023 Narjes Nikzad Khasmakhi, Meysam Asgari-Chenaghlu, Nabiha Asghar, Philipp Schaer, Dietlind Zühlke

Conversational generative vision models (CGVMs) like Visual ChatGPT (Wu et al., 2023) have recently emerged from the synthesis of computer vision and natural language processing techniques.

Text-based automatic personality prediction: A bibliographic review

no code implementations4 Oct 2021 Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Naghadeh

Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on different types of human generated/exchanged contents (such as text, speech, image, video).

Transfer Learning

BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter

1 code implementation4 May 2021 Hasan Kemik, Nusret Özateş, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria

In this paper, our aim is to provide a dataset which covers one of the most significant human rights contradiction in recent months affected the whole world, George Floyd incident.

TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection

no code implementations16 Aug 2020 Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili farzinvash, Mohammad-Ali Balafar, Cina Motamed

These properties of social networks which are known as 5'Vs of big data has led to many unique and enlightenment algorithms and techniques applied to large social networking datasets and data streams.

Community Detection Graph Mining +4

A Model to Measure the Spread Power of Rumors

no code implementations18 Feb 2020 Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Akan, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad-Ali Balafar

To address this research gap, the present study seeks a model to calculate the Spread Power of Rumor (SPR) as the function of content-based features in two categories: False Rumor (FR) and True Rumor (TR).

Rumour Detection

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