44 citations · 260 across the 11 of their papers we have counts for
11 papers
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
Nowadays, a tremendous amount of human communications occur on Internet-based communication infrastructures, like social networks, email, forums, organizational communication platf…
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
How people think, feel, and behave, primarily is a representation of their personality characteristics. By being conscious of personality characteristics of individuals whom we are…
Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding
Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh
Detecting communities in complex networks can shed light on the essential characteristics and functions of the modeled phenomena. This topic has attracted researchers of various fi…
Graph-Based Recommendation System Enhanced with Community Detection
Zeinab Shokrzadeh, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar +1
Many researchers have used tag information to improve the performance of recommendation techniques in recommender systems. Examining the tags of users will help to get their intere…
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu +7
Background: Keyword extraction is a popular research topic in the field of natural language processing. Keywords are terms that describe the most relevant information in a document…
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection
Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili farzinvash +2
Real time nature of social networks with bursty short messages and their respective large data scale spread among vast variety of topics are research interest of many researchers.…
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar +7
Human personality is significantly represented by those words which he/she uses in his/her speech or writing. As a consequence of spreading the information infrastructures (specifi…
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer
N. Nikzad-Khasmakhi, M. A. Balafar, M. Reza Feizi-Derakhshi +1
The objective of an expert recommendation system is to trace a set of candidates' expertise and preferences, recognize their expertise patterns, and identify experts. In this paper…
A Model to Measure the Spread Power of Rumors
Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +7
With technologies that have democratized the production and reproduction of information, a significant portion of daily interacted posts in social media has been infected by rumors…
ExEm: Expert Embedding using dominating set theory with deep learning approaches
N. Nikzad-Khasmakhi, M. A. Balafar, M. Reza Feizi-Derakhshi +1
A collaborative network is a social network that is comprised of experts who cooperate with each other to fulfill a special goal. Analyzing this network yields meaningful informati…
A multimodal deep learning approach for named entity recognition from social media
Meysam Asgari-Chenaghlu, M. Reza Feizi-Derakhshi, Leili Farzinvash +2
Named Entity Recognition (NER) from social media posts is a challenging task. User generated content that forms the nature of social media, is noisy and contains grammatical and li…