44 citations · 213 across the 11 of their papers we have counts for
7 papers · 1 filter
ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani +2
Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about…
Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder
Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee
The novel corona-virus disease (also known as COVID-19) has led to a pandemic, impacting more than 200 countries across the globe. With its global impact, COVID-19 has become a maj…
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.…
Multimodal price prediction
Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi +2
Price prediction is one of the examples related to forecasting tasks and is a project based on data science. Price prediction analyzes data and predicts the cost of new products. T…
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…
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…
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…