References in zbMATH (referenced in 28 articles , 1 standard article )

Showing results 1 to 20 of 28.
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  1. Golino, Hudson; Christensen, Alexander P.; Moulder, Robert; Kim, Seohyun; Boker, Steven M.: Modeling latent topics in social media using dynamic exploratory graph analysis: the case of the right-wing and left-wing trolls in the 2016 US elections (2022)
  2. David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt: The R package sentometrics to compute, aggregate and predict with textual sentiment (2021) arXiv
  3. Di Benedetto, Giuseppe; Caron, François; Teh, Yee Whye: Nonexchangeable random partition models for microclustering (2021)
  4. Samuel Borms, David Ardia, Keven Bluteau, Kris Boudt, Jeroen Van Pelt, Andres Algaba: The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment (2021) not zbMATH
  5. Yan, Xiaohan; Bien, Jacob: Rare feature selection in high dimensions (2021)
  6. Anderlucci, Laura; Viroli, Cinzia: Mixtures of Dirichlet-multinomial distributions for supervised and unsupervised classification of short text data (2020)
  7. Calissano, Anna; Vantini, Simone; Arena, Marika: Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform (2020)
  8. Daneshgar, Neda; Sarmad, Majid: \textttword.alignment: an \textttRpackage for computing statistical word alignment and its evaluation (2020)
  9. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  10. Liao, Xiyue; Chen, Guoqiang; Ku, Ben; Narula, Rahul; Duncan, Janet: Text mining methods applied to insurance company customer calls: a case study (2020)
  11. Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv
  12. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  13. Ekin, Tahir; Lakomski, Greg; Musal, Rasim Muzaffer: An unsupervised Bayesian hierarchical method for medical fraud assessment (2019)
  14. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  15. Knoll, Julian; Stübinger, Johannes; Grottke, Michael: Exploiting social media with higher-order factorization machines: statistical arbitrage on high-frequency data of the S&P 500 (2019)
  16. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  17. Aggarwal, Charu C.: Machine learning for text (2018)
  18. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  19. Mankad, Shawn; Hu, Shengli; Gopal, Anandasivam: Single stage prediction with embedded topic modeling of online reviews for mobile app management (2018)
  20. Peter Wittek and Shi Gao and Ik Lim and Li Zhao: somoclu: An Efficient Parallel Library for Self-Organizing Maps (2017) not zbMATH

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