Dataset Open Access

Dialogic Density in the Books of William James and John Dewey

Alexander Klein

This study employs a machine learning algorithm (the Stanford Named Entity Recognizer, or NER) to shed light on the relative rates at which William James and John Dewey mention other persons in their respective books. The NER attempts to tag words and phrases in a corpus with either PERSON, ORGANIZATION, or LOCATION. I created a corpus of major books published by James and Dewey, respectively, and used the NER to analyze each corpus. I then created databases and collected all entities tagged with PERSON in each book in each corpus.  

Files (1.4 MB)
Name Size
Corpus Manual6.pdf
md5:0d4838443a3ee3442e0cb090334f9c21
164.7 kB Download
DialogicDensity_Dewey8.xlsx
md5:92c7ca991ecaa4991f9b0518fc76055c
435.9 kB Download
DialogicDensity_James8.xlsx
md5:7cf94d30b808ae467292d15f6c53ae93
605.1 kB Download
Methods2.pdf
md5:2cc02fb0b5993d03b13929b75c3a0d73
175.0 kB Download
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