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LSYS/LexicalRichness: v0.3.1

Authors: Lucas Shen Y. S.;

LSYS/LexicalRichness: v0.3.1

Abstract

What's Changed Pass through within_sample parameter in vocd (fixes #80, @xhulianoThe1) Fix CTTR equation (fixes #77) Minor doc fixes Fixed path to vocd image LexicalRichness To install: pip install lexicalrichness Example usage from lexicalrichness import LexicalRichness # text example text = """Measure of textual lexical diversity, computed as the mean length of sequential words in a text that maintains a minimum threshold TTR score. Iterates over words until TTR scores falls below a threshold, then increase factor counter by 1 and start over. McCarthy and Jarvis (2010, pg. 385) recommends a factor threshold in the range of [0.660, 0.750]. (McCarthy 2005, McCarthy and Jarvis 2010)""" lex = LexicalRichness(text) lex.vocd_fig( ntokens=50, # Maximum number for the token/word size in the random samplings within_sample=100, # Number of samples seed=42, # Seed for reproducibility ) Full Changelog: https://github.com/LSYS/LexicalRichness/compare/v0.4.1...v0.5.1

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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