What's in a Word-list? (Record no. 3401)

MARC details
000 -LEADER
fixed length control field 01722 a2200325 4500
001 - CONTROL NUMBER
control field 1138266256
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100420.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042016GB eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138266254
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 52.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code GL
Source thema
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Subject category code DSA
Source thema
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Subject category code JBCC
Source thema
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Subject category code NH
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072 7# - SUBJECT CATEGORY CODE
Subject category code GL
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code DSA
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code JFC
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Subject category code H
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Subject category code LAN025000
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Subject category code HIS000000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 428.1
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dawn Archer
245 10 - TITLE STATEMENT
Title What's in a Word-list?
Remainder of title Investigating Word Frequency and Keyword Extraction
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxford
Name of publisher, distributor, etc. Routledge
Date of publication, distribution, etc. 20161115
300 ## - PHYSICAL DESCRIPTION
Extent 200 p
520 ## - SUMMARY, ETC.
Expansion of summary note The frequency with which particular words are used in a text can tell us something meaningful both about that text and also about its author because their choice of words is seldom random. Focusing on the most frequent lexical items of a number of generated word frequency lists can help us to determine whether all the texts are written by the same author. Alternatively, they might wish to determine whether the most frequent words of a given text (captured by its word frequency list) are suggestive of potentially meaningful patterns that could have been overlooked had the text been read manually. This edited collection brings together cutting-edge research written by leading experts in the field on the construction of word-lists for the analysis of both frequency and keyword usage. Taken together, these papers provide a comprehensive and up-to-date survey of the most exciting research being conducted in this subject.

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