NLP-Based Grant Analysis

Exploratory Analysis of NSF Standard Grants Using NLP and Data Visualization Tools

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These pages contain some exploratory analysis of NSF Standard Grants using a collection of natural language processing (NLP) tools from the scikit-learn, gensim and spaCy libraries, and some examples of data visualisation with matlotlib, seaborn and bokeh. Such approaches could be useful in uncovering insights from similar data sets.

Part 1: Data set retrieval and initial exploration

Part 2: Processing the text data with spaCy

Part 3: Identification of trending keywords

Part 4: Keyword occurrence visualisation