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You're reading from  Mastering Text Mining with R

Product typeBook
Published inDec 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781783551811
Edition1st Edition
Languages
R
Concepts
Data Mining
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Author (1)
KUMAR ASHISH
KUMAR ASHISH
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KUMAR ASHISH

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about KUMAR ASHISH

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Lexical diversity

Consider a speaker, who uses the term allow multiple times throughout the speech, compared to an another speaker who uses terms allow, concur, acquiesce, accede, and avow for the same word. The latter speech has more lexical diversity than the former. Lexical diversity is widely believed to be an important parameter to rate a document in terms of textual richness and effectiveness.

Lexical diversity, in simple terms, is a measurement of the breadth and variety of vocabulary used in a document. The different measures of lexical diversity are TTR, MSTTR, MATTR, C, R, CTTR, U, S, K, Maas, HD-D, MTLD, and MTLD-MA.

koRpus package in R provides functions to estimate the lexical diversity or complexity.

If N is the total number of tokens and V is the number of types:

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Mastering Text Mining with R
Published in: Dec 2016Publisher: PacktISBN-13: 9781783551811
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
KUMAR ASHISH

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about KUMAR ASHISH

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Measure

Description

Wrapper Function (koRpus package in R)

TTR

Type-Token Ratio

TTR

MSTTR

Mean segment type token ratio

MSTTR

C

logTTR

C.ld

R

Root TTR

R.ld

CTTR

Corrected TTR

CTTR

U

Uber Index

U.ld...