forked from quanteda/quanteda
-
Notifications
You must be signed in to change notification settings - Fork 0
/
_pkgdown.yml
189 lines (188 loc) · 4.84 KB
/
_pkgdown.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
template:
params:
bootswatch: readable
ganalytics: UA-144616-24
navbar:
title: "Quanteda"
type: inverse
left:
- text: "Quick Start"
menu:
- text: "Quick Start Guide"
href: articles/pkgdown/quickstart.html
- text: "快速入门指南"
href: articles/pkgdown/examples/quickstart_cn.html
- text: "クイック・スタートガイド"
href: articles/pkgdown/examples/quickstart_ja.html
- text: "Reference"
href: reference/index.html
- text: "Features"
href: articles/pkgdown/comparison.html
- text: "Examples"
menu:
- text: "Multi-word expressions"
href: articles/pkgdown/examples/phrase.html
- text: "Textual data visualization"
href: articles/pkgdown/examples/plotting.html
- text: "Latent Semantic Analysis (LSA)"
href: articles/pkgdown/examples/lsa.html
- text: "Chinese text analysis"
href: articles/pkgdown/examples/chinese.html
- text: "Social media analysis"
href: articles/pkgdown/examples/twitter.html
- text: "Replications"
menu:
- text: "Text Analysis with R for Students of Literature"
href: articles/pkgdown/replication/digital-humanities.html
- text: "Word embedding (word2vec)"
href: articles/pkgdown/replication/text2vec.html
- text: "Quantitative Social Science Ch. 5.1"
href: articles/pkgdown/replication/qss.html
- text: "Design"
href: articles/design.html
right:
- icon: fa-github fa-lg
href: https://github.com/quanteda/quanteda
reference:
- title: Package-level
contents:
- quanteda
- quanteda_options
- title: Data
desc: Built-in data objects.
contents:
- data_char_sampletext
- data_char_ukimmig2010
- data_corpus_dailnoconf1991
- data_corpus_inaugural
- data_corpus_irishbudget2010
- data_dfm_LBGexample
- data_dictionary_LSD2015
- title: Corpus functions
desc: Functions for constructing and manipulating corpus class objects.
contents:
- starts_with("corpus")
- docvars
- head.corpus
- metacorpus
- metadoc
- texts
- as.character.corpus
- as.corpus.corpuszip
- title: Tokens functions
desc: Functions for constructing and manipulating tokens class objects.
contents:
- tokens
- tokens_compound
- tokens_lookup
- tokens_ngrams
- tokens_skipgrams
- tokens_remove
- tokens_replace
- tokens_select
- tokens_subset
- tokens_tolower
- tokens_toupper
- tokens_wordstem
- types
- as.character.tokens
- as.list.tokens
- as.tokens
- as.tokens.list
- is.tokens
- as.tokens.list
- title: Character functions
desc: Functions for constructing and manipulating character objects.
contents:
- char_tolower
- char_toupper
- char_segment
- char_ngrams
- char_wordstem
- title: Text matrix functions
desc: Functions for constructing and manipulating a document-feature matrix (dfm) or feature co-occurrence matrix object.
contents:
- dfm
- dfm_compress
- dfm_group
- dfm_lookup
- dfm_sample
- dfm_remove
- dfm_replace
- dfm_select
- dfm_subset
- dfm_sort
- dfm_tfidf
- dfm_tolower
- dfm_toupper
- dfm_trim
- dfm_smooth
- dfm_weight
- dfm_wordstem
- docfreq
- head.dfm
- tail.dfm
- as.dfm
- is.dfm
- as.data.frame.dfm
- as.matrix.dfm
- fcm
- fcm_compress
- fcm_remove
- fcm_select
- fcm_tolower
- fcm_toupper
- fcm_sort
- is.fcm
- title: Text Statistics
desc: Functions for computing statistics from texts and dfm objects.
contents:
- textstat_collocations
- textstat_dist
- textstat_lexdiv
- textstat_simil
- textstat_frequency
- textstat_keyness
- textstat_readability
- sparsity
- topfeatures
- title: Dictionary functions
desc: Constructor and utility functions for working with dictionaries.
contents:
- dictionary
- is.dictionary
- as.yaml
- title: Phrase discovery functions
desc: Functions for exploring and detecting keywords and phrases.
contents:
- collocations
- is.collocations
- is.kwic
- kwic
- title: Text plot functions
desc: Plot functions for representing text and the analysis of texts.
contents:
- starts_with("textplot_")
- title: Text Model Functions
desc: Plot functions for fitting analytic models from text matrixes.
contents:
- starts_with("textmodel_")
- title: Utility functions
desc: R-like functions to return counts and object information.
contents:
- ndoc
- nfeature
- nscrabble
- nsentence
- nsyllable
- ntoken
- ntype
- starts_with("docnames")
- featnames
- title: Miscellaneous functions
contents:
- phrase
- as.list.dist
- convert
- bootstrap_dfm
- spacyr-methods