Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
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  • codemeta.json file
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  • .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (3.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: m-l-kang
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 8.82 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Citation

README.md

stats-170B-capstone

An example of our project can be found at project.ipynb, and this example notebook highlights our XGBoost classifier performances. The required data to run the notebook is 10.463 MB in size and can be found in ./classifiers and ./labeling_data. The notebook can be run in linear order to achieve the desired results of seeing the distribution of the 2800 labeled posts across all 12 categories, loading in the classifiers that were trained on the labeled data, loading the hidden states of the labeled posts, and obtaining the AUC scores for the models.

Owner

  • Name: Melissa Kang
  • Login: m-l-kang
  • Kind: user

Citation (citations.txt)

Chen, Zihan, and Marina Sokolova. Sentiment Analysis of the COVID-Related r/Depression Posts, 28 July 2021, https://arxiv.org/ftp/arxiv/papers/2108/2108.06215.pdf. 

Complete Dissertation by Statistics Solution, “Kruskal-Wallis Test”, 23 May 2023, https://www.statisticssolutions.com/kruskal-wallis-test/. 

Montana State University, “Jonckheere-Terpstra Test for Ordered Alternatives.” 23 May 2023,  https://math.montana.edu/jobo/thainp/twosampb.pdf. 

Raheman, Ali, et al. Social Media Sentiment Analysis for Cryptocurrency Market Prediction, 19 Apr. 2022, arxiv.org/ftp/arxiv/papers/2204/2204.10185.pdf. 

Yan T, Liu F (2022) COVID-19 sentiment analysis using college subreddit data. PLoS ONE 17(11): e0275862. https://doi.org/10.1371/journal.pone.0275862.

Zach. Welch’s T-test: When to Use + Example, Statology, 29 May 2019, ​​https://www.statology.org/welchs-t-test/.

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