no code implementations • 20 Feb 2023 • Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi, Babak Anari
In this paper, a topic detection framework using HWA, a method for Human Word Association, is proposed.
no code implementations • 30 Jan 2023 • Mehrdad Ranjbar Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi, Babak Anari
Also, most of the previous works in the field of topic detection are limited to the English language, and the Persian language, especially microblogs written in this language, is considered a low-resource language.
no code implementations • 5 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.
no code implementations • 5 Jul 2022 • Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
Social media networks have become a significant aspect of people's lives, serving as a platform for their ideas, opinions and emotions.
no code implementations • 27 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.
no code implementations • 26 Apr 2022 • Danial Toufani-Movaghar, Mohammad-Reza Feizi-Derakhshi
In the new era of internet systems and applications, a concept of detecting distinguished topics from huge amounts of text has gained a lot of attention.
no code implementations • 17 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.
no code implementations • 10 Jan 2022 • Zeinab Shokrzadeh, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, Jamshid Bagherzadeh-Mohasefi
On the other hand, due to the change of users' interests over time this article has considered the time of tag assignments in co-occurrence tags for determining similarity of tags.
no code implementations • 4 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).
no code implementations • 9 Jun 2021 • Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu, Mohammad-Ali Balafar, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi
In Phraseformer, each keyword candidate is presented by a vector which is the concatenation of the text and structure learning representations.
Ranked #1 on Keyword Extraction on SemEval-2017 Task-10
no code implementations • 15 Apr 2021 • Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
Feature vectors were extracted by applying a deep convolution neural network on the images, and useful features were selected by the binary differential meta-heuristic algorithm.
1 code implementation • 10 Apr 2021 • Aidin Zehtab-Salmasi, Mohammad-Reza Feizi-Derakhshi, Mohamad-Ali Balafar
For evaluating the proposed method, seven datasets were used: Semeval2010, SemEval2017, Inspec, fao30, Thesis100, pak2018, and Wikinews, with results reported as Precision, Recall, and F- measure.
Ranked #5 on Keyword Extraction on Inspec
no code implementations • 4 Jan 2021 • Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Taymaz Rahkar-Farshi, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi, Mohammad-Ali Balafar
Social media is an inseparable part of our daily life where we post and share photos and media related to our life and in some cases we intend to share them between specific people.
no code implementations • ACM Transactions on Asian and Low-Resource Language Information Processing 2020 • Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi
Therefore, it is important to detect and verify the rumors in the early stage of their spreading.
Ranked #1 on Rumour Detection on Sepehr_RumTel01
no code implementations • Multimedia Tools and Applications 2020 • Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi
It indicates that speech act and WS alongside semantic contextual vectors are helpful features in the rumor verification task.
Ranked #2 on Rumour Detection on Sepehr_RumTel01
no code implementations • 16 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.
no code implementations • 9 Jul 2020 • Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi
Generally, Automatic Personality Prediction (or Perception) (APP) is the automated forecasting of the personality on different types of human generated/exchanged contents (like text, speech, image, video, etc.).
Ranked #1 on Personality Trait Recognition on Essays
no code implementations • Journal of Soft Computing and Information Technology 2020 • Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi
Also, the evaluation results indicate that SA as a distinctive feature between rumors and non-rumors improves the accuracy of rumor identification from 0. 762 (based on common context features) to 0. 791 (the combination of common context features and four SA classes).
no code implementations • 18 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).
Ranked #3 on Rumour Detection on Sepehr_RumTel01
1 code implementation • 5 Dec 2019 • Yousef Abdi, Mohammad-Reza Feizi-Derakhshi
Big Data optimization (Big-Opt) refers to optimization problems which require to manage the properties of big data analytics.
1 code implementation • 5 Mar 2019 • Mohanna Orujpour, Mohammad-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi
Most real-world problems have more than one solution; therefore, the potential role of multi-modal optimization algorithms is rather significant.
no code implementations • 12 Jan 2019 • Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi
The experimental results demonstrate that the proposed method using RF and SVM as the best classifiers achieved a state-of-the-art performance with an accuracy of 0. 95 for classification of Persian SAs.
Ranked #4 on Rumour Detection on Sepehr_RumTel01
no code implementations • 6 Nov 2018 • Ali Reihanian, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi
In order to solve this problem, an evolutionary algorithm called MOBBO-OCD, which is based on multi-objective biogeography-based optimization (BBO), is proposed in this paper to automatically find overlapping communities in a social network with node attributes with synchronously considering the density of connections and the similarity of nodes' attributes in the network.
1 code implementation • 18 Apr 2018 • Taymaz Rahkar Farshi, Recep Demirci, Mohammad-Reza Feizi-Derakhshi
In this study, a new color image clustering algorithm with multilevel thresholding has been presented and, it has been shown how to use the multilevel thresholding techniques for color image clustering.
1 code implementation • 1 Nov 2014 • Manizheh Ghaemi, Mohammad-Reza Feizi-Derakhshi
In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed.
no code implementations • 8 Oct 2014 • Taymaz Rahkar-Farshi, Sara Behjat-Jamal, Mohammad-Reza Feizi-Derakhshi
In this paper, an improved multimodal optimization (MMO) algorithm, called LSEPSO, has been proposed.
no code implementations • 8 Oct 2013 • Habib Emdadi, Mahsa Yazdanian, Mir Mohammad Ettefagh, Mohammad-Reza Feizi-Derakhshi
In this paper, a new method for dynamic balancing of double four-bar crank slider mechanism by meta- heuristic-based optimization algorithms is proposed.