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20102026
most citedA multimodal deep learning approach for named entity recognition from social media

44 citations · 402 across the 28 of their papers we have counts for

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Showing cs.CLShow all

15 papers · 1 filter

cs.CL2025

Benchmarking ChatGPT and DeepSeek in April 2025: A Novel Dual Perspective Sentiment Analysis Using Lexicon-Based and Deep Learning Approaches

Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi

This study presents a novel dual-perspective approach to analyzing user reviews for ChatGPT and DeepSeek on the Google Play Store, integrating lexicon-based sentiment analysis (Tex…

cs.CL2023★ 2 cited

Persian topic detection based on Human Word association and graph embedding

Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi +1

In this paper, we propose a framework to detect topics in social media based on Human Word Association. Identifying topics discussed in these media has become a critical and signif…

cs.CL2023★ 6 cited

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

Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi +1

The methods of automatic speech summarization are classified into two groups: supervised and unsupervised methods. Supervised methods are based on a set of features, while unsuperv…

cs.CL2023★ 7 cited

A Human Word Association based model for topic detection in social networks

Mehrdad Ranjbar Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi +1

With the widespread use of social networks, detecting the topics discussed on these platforms has become a significant challenge. Current approaches primarily rely on frequent patt…

cs.CL2022★ 28 cited

A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks

Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh +1

Social media networks have become a significant aspect of people's lives, serving as a platform for their ideas, opinions and emotions. Consequently, automated sentiment analysis (…

cs.CL2022★ 30 cited

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…

cs.CL2022

Word Embeddings and Validity Indexes in Fuzzy Clustering

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. These methods use represen…

cs.CL2022★ 25 cited

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…

cs.CL2021★ 33 cited

Text-based automatic personality prediction: A bibliographic review

Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +6

Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on…

cs.CL2021★ 20 cited

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…

cs.CL2021★ 6 cited

FRAKE: Fusional Real-time Automatic Keyword Extraction

Aidin Zehtab-Salmasi, Mohammad-Reza Feizi-Derakhshi, Mohamad-Ali Balafar

Keyword extraction is the process of identifying the words or phrases that express the main concepts of text to the best of one's ability. Electronic infrastructure creates a consi…

cs.CL2020★ 28 cited

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.…

cs.CL2020★ 35 cited

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…

cs.CL2020★ 44 cited

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…

cs.CL2019★ 7 cited

A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors

Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Arash Sharifi

Speech Acts (SAs) are one of the important areas of pragmatics, which give us a better understanding of the state of mind of the people and convey an intended language function. Kn…