Data Exploration, Manipulation, and Evaluation
DOI:
https://doi.org/10.31224/4000Abstract
This paper explores various methods for analyzing, manipulating, and evaluating survey data. Using a Jupyter notebook, we examine trends such as the increase in the number of published survey articles over the years. Additionally, we categorize each article into different taxonomy topics. Through data manipulation, we create a TF-IDF matrix, enabling us to predict an article’s taxonomy category based on key words from its title, summary, and associated categoriesDownloads
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Posted
2024-10-21
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Copyright (c) 2024 Sunny Moran
This work is licensed under a Creative Commons Attribution 4.0 International License.