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ORCIDMir Saman Tajbakhsh
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2020 – today
- 2022
[j4]Mir Saman Tajbakhsh
, Hanif Emamgholizadeh, Vahid Solouk, Farnaz Ayough, M. Jamshid Bagherzade:
Multi-agent celebrity recommender system (MACeRS): Twitter use case. Soc. Netw. Anal. Min. 12(1): 11 (2022)- 2021
- [j3]Siamak Abdi, Jamshid Bagherzadeh, Gholamhossein Gholami, Mir Saman Tajbakhsh:
Using an auxiliary dataset to improve emotion estimation in users' opinions. J. Intell. Inf. Syst. 56(3): 581-603 (2021) - 2020
- [j2]Hanif Emamgholizadeh, Milad Nourizade, Mir Saman Tajbakhsh, Mahdieh Hashminezhad, Farzaneh Nasr Esfahani:
A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW). Soc. Netw. Anal. Min. 10(1): 90 (2020) - [i1]Hanif Emamgholizadeh, Milad Nourizade, Mir Saman Tajbakhsh, Mahdieh Hashminezhad, Farzaneh Nasr Esfahani:
A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW). CoRR abs/2008.11453 (2020)
2010 – 2019
- 2019
- [j1]Mir Saman Tajbakhsh, Jamshid Bagherzadeh:
Semantic knowledge LDA with topic vector for recommending hashtags: Twitter use case. Intell. Data Anal. 23(3): 609-622 (2019) - 2016
- [c1]Mir Saman Tajbakhsh, Jamshid Bagherzadeh:
Microblogging Hash Tag Recommendation System Based on Semantic TF-IDF: Twitter Use Case. FiCloud Workshops 2016: 252-257
Coauthor Index
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