2015
DOI: 10.46430/phen0043
|View full text |Cite
|
Sign up to set email alerts
|

Corpus Analysis with Antconc

Abstract: Corpus analysis is a form of text analysis which allows you to make comparisons between textual objects at a large scale (so-called 'distant reading').

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(7 citation statements)
references
References 0 publications
0
6
0
Order By: Relevance
“…In particular, lessons that teach skills that we might describe as 'data mining' or analysing large volumes of materials, were much more popular with English readers than those from other language groups. This included lessons on getting started with topic modeling, corpus linguistics basics, and downloading large numbers of webpages semiautomatically -for example to download a large database one page at a time for offline analysis (Graham et al, 2012;Milligan, 2012;Froehlich, 2015). Given the buzz around data mining in the English press, this shows an alignment between English buzz and English skills seeking.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, lessons that teach skills that we might describe as 'data mining' or analysing large volumes of materials, were much more popular with English readers than those from other language groups. This included lessons on getting started with topic modeling, corpus linguistics basics, and downloading large numbers of webpages semiautomatically -for example to download a large database one page at a time for offline analysis (Graham et al, 2012;Milligan, 2012;Froehlich, 2015). Given the buzz around data mining in the English press, this shows an alignment between English buzz and English skills seeking.…”
Section: Discussionmentioning
confidence: 99%
“…Considering the least central words reminds us of discussions in the Digital Humanities regarding text analysis techniques, such as topic modelling or term frequency-inverse distribution frequency about whether or not to include stop-words. Stop-words are the very frequent words such as 'the, of, and' which seemingly do not carry much weight for determining larger patterns, yet are very telling when we do work such as author attribution or stylometry (see, for instance, [47,48]). Is what we are doing closer in concept to topic modeling, or closer in concept to stylometry?…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the method could be described as a "close reading" of the texts instead of digitally assisted "distant reading". The latter, intended to be used with large-scale textual material, such as corpora and other "big data", may prove useful because "it allows us to see things that we don't necessarily see when reading as humans" (Froehlich 2015). For instance, digital methodologies help in mapping patterns of grammatical use and in detecting statistically likely or unlikely phrases.…”
Section: Limitations Of the Chosen Methodologymentioning
confidence: 99%