Search Results for author: Majid Ramezani

Found 9 papers, 0 papers with code

Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)

no code implementations5 Jan 2023 Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi

Latent Semantic Analysis (LSA) and Maximal Marginal Relevance (MMR) are considered the most important and well-known unsupervised methods in automatic speech summarization.

News Summarization

Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier

no code implementations27 May 2022 Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar

For the first time, it applies the knowledge graph attention network to perform Automatic Personality Prediction (APP), according to the Big Five personality traits.

Graph Attention Knowledge Graph Embedding +1

Knowledge Graph-Enabled Text-Based Automatic Personality Prediction

no code implementations17 Mar 2022 Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar

This paper presents a novel knowledge graph-enabled approach to text-based APP that relies on the Big Five personality traits.

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

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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