TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Article activity feed
-
-
SciScore for 10.1101/2020.08.04.20167973: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources These classifiers were used in similar kinds of twitter data analysis such as C5.0 (DT), KNN, SVM, LR and ZeroR [16], personality prediction using KNN, NB, SVM, and XGB [17, 18], spam detection using RF, NB, SMO and Ibk (KNN equivalent) [19], sentiment analysis using NB, SVM, and MLP of top colleges [20], prediction of alternation price fluctuation using GB [21]. ZeroRsuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit …SciScore for 10.1101/2020.08.04.20167973: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources These classifiers were used in similar kinds of twitter data analysis such as C5.0 (DT), KNN, SVM, LR and ZeroR [16], personality prediction using KNN, NB, SVM, and XGB [17, 18], spam detection using RF, NB, SMO and Ibk (KNN equivalent) [19], sentiment analysis using NB, SVM, and MLP of top colleges [20], prediction of alternation price fluctuation using GB [21]. ZeroRsuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
-
