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Data Analysis on Research Text Data

Exploratory text analysis on National Science Foundation research grant data.

Data Analysis on Research Text Data

This project explores research grant data retrieved from the National Science Foundation.

  • Transformed XML-formatted non-relational data into a tabular relational format.
  • Preprocessed text by removing stopwords and missing values.
  • Used text analysis tools such as PlaintextCorpusReader and BigramCollocationFinder to extract single-word, two-word, and three-word phrase frequencies.
  • Applied K-means clustering, XGBoost, Random Forest, and NetworkX to draw insights from the text data.