| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cgm a2200000 i 4500 |
| 001 |
in00005514799 |
| 006 |
m o c |
| 007 |
vz uza|u| |
| 007 |
cr |za|||||||| |
| 008 |
190508r20172017enk--- f o vleng d |
| 005 |
20241105202940.4 |
| 035 |
|
|
|a (OCoLC)on1103510105
|
| 040 |
|
|
|a SGPBL
|b eng
|e rda
|e pn
|c SGPBL
|d OCLCO
|d OCLCF
|d AGL
|d OCLCO
|d OCL
|d OCLCQ
|d OCLCO
|d OCLCL
|d OCLCQ
|
| 019 |
|
|
|a 1319449550
|
| 020 |
|
|
|a 9781526476593
|q (streaming video)
|
| 020 |
|
|
|a 1526476592
|
| 035 |
|
|
|a (OCoLC)1103510105
|z (OCoLC)1319449550
|
| 041 |
0 |
|
|j eng
|
| 050 |
|
4 |
|a P138
|b .E93 2017
|
| 070 |
0 |
|
|a P138
|b .E93 2017
|
| 082 |
0 |
4 |
|a 410.151
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Euclidian distance and cosine similarity.
|
| 264 |
|
1 |
|a London :
|b SAGE Publications Ltd,
|c 2017.
|
| 300 |
|
|
|a 1 online resource (1 video file (00:06:23)) :
|b sound, colour.
|
| 336 |
|
|
|a two-dimensional moving image
|b tdi
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 337 |
|
|
|a video
|b v
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Fundamentals of Quantitative Text Analysis ;
|v 18
|
| 511 |
0 |
|
|a Academic, Jonathan Slapin PhD.
|
| 520 |
8 |
|
|a Jonathan Slapin, PhD, Professor of Government and Director of the Essex Summer School in Social Science Data Analysis at the University of Essex, discusses how to compare document similarity using euclidean distance and cosine similarity, including why this comparison should be done and using R's Quanteda's "textstat_simil()" and "textstat_dist()" functions.
|
| 546 |
|
|
|a Closed-captions in English.
|
| 588 |
0 |
|
|a XML content.
|
| 650 |
|
0 |
|a Mathematical linguistics.
|
| 650 |
|
0 |
|a Computer algorithms.
|
| 650 |
|
0 |
|a R (Computer program language)
|
| 650 |
|
0 |
|a Algorithms.
|
| 650 |
|
6 |
|a Linguistique mathématique.
|
| 650 |
|
6 |
|a Algorithmes.
|
| 650 |
|
6 |
|a R (Langage de programmation)
|
| 650 |
|
7 |
|a algorithms.
|2 aat
|
| 650 |
|
7 |
|a Algorithms
|2 fast
|
| 650 |
|
7 |
|a Computer algorithms
|2 fast
|
| 650 |
|
7 |
|a Mathematical linguistics
|2 fast
|
| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|
| 700 |
1 |
|
|a Slapin, Jonathan B.,
|d 1979-
|e Academic.
|
| 758 |
|
|
|i has work:
|a Euclidian distance and cosine similarity (MovingImage)
|1 https://id.oclc.org/worldcat/entity/E39PCGJyjhYRdM8MMpxhdTPB8C
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 830 |
|
0 |
|a Fundamentals of Quantitative Text Analysis ;
|v 18.
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/euclidian-distance-and-cosine-similarity
|z Connect to this streaming video
|t 0
|
| 936 |
|
|
|a BATCHLOAD
|
| 955 |
|
|
|a SAGE Research Methods Video Data Science, Big Data Analytics, and Digital Methods
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|s 47f62c60-ba86-4963-b015-5b040db6081f
|i 1aa71b9f-8585-4699-a2c7-1c66a61461da
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e P138 .E93 2017
|h Library of Congress classification
|
| 998 |
f |
f |
|a P138 .E93 2017
|t 0
|l Available Online
|