Jonathan Swift
Collection
Cautionaries are simply edits to the original content for the purposes of improving the usability and clarity of the informatic design. Edits should focus on identifying the framework of the original content in its entirety, including redundant messages of cultural or legal significance. The following edits were made to the content to improve the framework:
- Words were stemmed.
- Stop Words were used.
- The Stop Word List: 'a', 'about', 'above', 'above', 'across', 'after', 'afterwards', 'again', 'against', 'all', 'almost', 'alone', 'along', 'already', 'also','although','always','am','among', 'amongst', 'amoungst', 'amount', 'an', 'and', 'another', 'any','anyhow','anyone','anything','anyway', 'anywhere', 'are', 'around', 'as', 'at', 'back','be','became', 'because','become','becomes', 'becoming', 'been', 'before', 'beforehand', 'behind', 'being', 'below', 'beside', 'besides', 'between', 'beyond', 'bill', 'both', 'bottom','but', 'by', 'call', 'can', 'cannot', 'cant', 'co', 'con', 'could', 'couldnt', 'cry', 'de', 'describe', 'detail', 'do', 'done', 'down', 'due', 'during', 'each', 'eg', 'eight', 'either', 'eleven','else', 'elsewhere', 'empty', 'enough', 'etc', 'even', 'ever', 'every', 'everyone', 'everything', 'everywhere', 'except', 'few', 'fifteen', 'fify', 'fill', 'find', 'fire', 'first', 'five', 'for', 'former', 'formerly', 'forty', 'found', 'four', 'from', 'front', 'full', 'further', 'get', 'give', 'go', 'had', 'has', 'hasnt', 'have', 'he', 'hence', 'her', 'here', 'hereafter', 'hereby', 'herein', 'hereupon', 'hers', 'herself', 'him', 'himself', 'his', 'how', 'however', 'hundred', 'ie', 'if', 'in', 'inc', 'indeed', 'interest', 'into', 'is', 'it', 'its', 'itself', 'keep', 'last', 'latter', 'latterly', 'least', 'less', 'ltd', 'made', 'many', 'may', 'me', 'meanwhile', 'might', 'mill', 'mine', 'more', 'moreover', 'most', 'mostly', 'move', 'much', 'must', 'my', 'myself', 'name', 'namely', 'neither', 'never', 'nevertheless', 'next', 'nine', 'no', 'nobody', 'none', 'noone', 'nor', 'not', 'nothing', 'now', 'nowhere', 'of', 'off', 'often', 'on', 'once', 'one', 'only', 'onto', 'or', 'other', 'others', 'otherwise', 'our', 'ours', 'ourselves', 'out', 'over', 'own','part', 'per', 'perhaps', 'please', 'put', 'rather', 're', 'same', 'see', 'seem', 'seemed', 'seeming', 'seems', 'serious', 'several', 'she', 'should', 'show', 'side', 'since', 'sincere', 'six', 'sixty', 'so', 'some', 'somehow', 'someone', 'something', 'sometime', 'sometimes', 'somewhere', 'still', 'such', 'system', 'take', 'ten', 'than', 'that', 'the', 'their', 'them', 'themselves', 'then', 'thence', 'there', 'thereafter', 'thereby', 'therefore', 'therein', 'thereupon', 'these', 'they', 'thick', 'thin', 'third', 'this', 'those', 'though', 'three', 'through', 'throughout', 'thru', 'thus', 'to', 'together', 'too', 'top', 'toward', 'towards', 'twelve', 'twenty', 'two', 'un', 'under', 'until', 'up', 'upon', 'us', 'very', 'via', 'was', 'we', 'well', 'were', 'what', 'whatever', 'when', 'whence', 'whenever', 'where', 'whereafter', 'whereas', 'whereby', 'wherein', 'whereupon', 'wherever', 'whether', 'which', 'while', 'whither', 'who', 'whoever', 'whole', 'whom', 'whose', 'why', 'will', 'with', 'within', 'without', 'would', 'yet', 'you', 'your', 'yours', 'yourself', 'yourselves', 'the'.
- The Reasoning Behind the Selection - These words are of high frequency, non-unique generality. They are simply removed to clarify the content, of a more unique terminology, during the analytic stage of modeling. There are other words that could be included or excluded, as the method of removal isn’t intended to be exact. However, the terms should be non-unique, of high frequency, and fully disclosed to users of the informatic model. That is, these terms after the analytic stage are returned to the informatic model in developing the networks, layering, directionality, and detailing of the model.
- Implications of Selection - The methodology generalizes the unstructured information, so regardless of the nuanced changes of a stop word list; which may or may not include some unique terms, or may or may not meet a particular standard asserted as ideal; the given methodology returns these words to the corpus for the informatic modelling, and the generalized form of significant associations are consistently accounted for, even if some words of significant association were treated as stop words initially. That is, there isn't a perfect stop word list, and lists will vary, but the informatic methodology manages these variations for a consistent outcome, so long as most non-unique terminology is removed.
Specific Cautionaries
The following cautionaries are more specific to the Swift - Collection:
- There were a large variety of numbers and number-letter combinations that marked news sections. All numbers, letter-number combinations not constituting words or abbreviations were removed after the analytic modeling stage. Some low-frequency of numbers meshing with words were removed as well. All combinations were removed to improve the usability and clarity of the content being modeled informatically.
- No words were removed, other than what is listed on the Stop Word list. These words were removed only for the framing and analytic stages. Words are returned during the network, layering, and detailing stages of modeling.
- Errors involving the content, such as conversion errors of words are not edited and will remain transparent to viewers of the model. The focus is on developing trust through process and procedure, not through avenues easily manipulated, such as finely-threaded performances of perfection and cosmetic appeal. Exceptions will be listed in the "specific edits" section.
- Split words that are merged back together, if any, will be listed in specific edits.
- The userability standard is used moderately. That is, terms like "ebook", or proper nouns, such as publisher names, or any other term reflective of the overall publication, will likely be included into the modeling process. The models are designed to account for terms that work in different contexts, such as publication terms, that will be presented alongside the design of the actual written work, with the ideas of the given author intact.
- This methodology is designed to manage the unstructured informational environment, of a sound and consistent overall design, that manifests from categorical arrangements that are inconsistent and imperfect, like that of a hair style. Even though terms, these individual hairs, will change, the overall styling, the informatic model, will remain largely the same, of a consistent arrangement of major nodes. In this way, the unstructured informational environment differs from the structured informational environment.
Specific Edits
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2,500
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20
20
20
20
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200
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200
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201
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201
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202
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278
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28
28
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282
282
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28th
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29
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29
29
29
29
290
291
291
291
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296
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297,198,3
298
298
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3
3
3
3
3
3
3
30
30
30
30
30
30
30
30
30
30
3000
301
301
302
303
303
304
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305
306
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309
31
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31
31
31
310
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310
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312
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317
319
319
31st
32
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32
32
320
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320
321
321
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323
323
323
323
323
323
323,337
324
326
327
328
329
33
33
33
33
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34
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340
341irenaeus
342
342
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343
343compton
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345
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345
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36
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361
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37
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38
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385
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39
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393
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399
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4
4
4
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40
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400
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456,000
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50
50
50
50
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50,000
500
500
500,000
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51
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51
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5100
52
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541
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543
55
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55
56
56
56
56
56
56,415
57
57
57
57
57
57
57
575
58
58
58
58
58
58
58
59
59
59
59
59
59
59
595
5â
5â
5i
5s
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6,7
60
60
60
60
60
60
60
605
61
61
61
61
61
61
61
62
62
62
62
62
63
63
63
63
63
63
63
63
64
64
64
64
64
65
65
65
656
66
66
66
66
67
67
67
67
67
67
67
67
68
68
68
68
68
68
68
68
687
69
69
69
69
6â
6d
6r
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7,1701
7_9
70
70
70
7004
71
71
71
71
716
72
72
72
72
72
720
73
73
73
73
73
73
74
74
74
74
75
75
75
75
75
75
75
75
76
76
76
76
76
76
76
76
77
77
77
77
77
78
78
78
78
78
78
78
78
78
78
78
78
78
78
78
78
78
79
79
79
79
7o
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
80
80
80
80
80
80
81
81
81
82
82
82
82
82
83
83
83
83
84
84
84
84
8436
85
85
851
86
0
0
0
0
0
0
0
0
0
0
0
0d
0f
0f
0f
0f
0r
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
10
10,000
100
100
100
100
100
103
103
103
104
105
105
107
107
107
107
107
109
109
11
11
11
112
112
112
112
112
113
113
114
114
115
116
116
116
117
119
119
119
12
12
12
12
120
120
120
121
121
122
123
123
125
125
125
125
127
128
129
129
129
129
12mo
12mo
13
13
13
130
130
131
131
132
132
133
133
134
134
135
136
136
138
138
13th
14
14
140
140
140
141
141
142
142
142
143
143
144
145
145
146
147
147
147
147
149
15
15
15
150
150
150
1500
151
151
152
154
154
154
155
155
156
157
157
1572
158
158
158
159
16
16,800,000
160
160
160
160
1608
161
161
162
163
163
163
1630
1635
164
164
164
1640
1641
165
165
165
1654
1655
166
1667
1667
1668
167
167
167
1670
1672
1673
1673
1676
1679
1679
1679
168
168
1682
1684
1686
1687
1689
169
169
1690
1693
1695
1696
1696
1697
1697
1697
1697
1697
1697
1697
1697
1697
1698
1698
1698
1698
1699
1699
1699
16th
16th
17
170
170
1701
1701
1701
1704
1705
1705
1705
1705
1708
1708
1709
171
1710
1710
1710
1710
1710
1710
1711
1711
1711
1711
1711â1714
1712
1713
1714
1715
1719
1719
172
1720
1720
1720
1720
1720
1720
1720
1720
1720
1720
1720
1720
1720
1720
1721
1721
1721
1722
1722
1723
1723
1724
1725
1726
1727
1727
1728
1728
1728
1728
1729
1729
1729
1729
1729
173
173
1730
1730
1730
1733
1733
1733
1733
1734
1734
1734
1735
1735
1736
1737
1737
1739
174
174
1745
1745
175
176
176
176
176
1768
1768
1778
1779
178
178
1780
1783
179
1791
18
180
1808
181
181
181
181
1814
182
182
182
182
182
182
1824
18250
18250
183
183
1837
184
184
185
186
1861
189
1890
1892
1892
1894
19
19
190
190
191
192
193
193
194
194
194
194
194
195
196
196
196,197,273
197
197
198
198
198
198
199
19a
1e
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2,000,000
2,295
2,428,800
2_7
2_l
200
2000
2001
2001
2006
201
201
2012
202
203
203
203
203
203
204
204
204
207
207
207
207
208
208
208
208
209
209
20th
21
21
21
210
212
213
214
215
217
218
22
22
22
22
22
22
220
220
221
222
223
224
224
226
23
23
23
23
230
231
235
235
235
236
236
236
236
236
236
237
237
238
238
238
238
23ã
24
240
2408
241
242
242
242
244
244
244
244
245
246
246
246
248
248
248
248
249
249
24th
25
25
25
25
250
250
251
253
253
254
256
257
257
257
258
258
26
26
26
26
260
263
263
265
265
266
268
268
269
269
27
27
27
27
270
270
271
271
273
274
275
275
275
277
278
27o
28
28
280
281
281
283
283
285
285
286
286
288
288
288
289
29
29
29
290
291
291
297
2ã
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
30
30
30
3000
301
302
303
303
304
304
304
306
307
307
308
308
31
31
31
31
310
310
311
312
312
314
315
316
317
317
317
32
32
32
320
322
323
323
323
323
323
323,337
33
33
33
331â
332
334
335
336
337
337
34
340
340
341irenaeus
342
342
343
343
343
343compton
344
344fountaine
345
345
345
345
345
346
346
346
346
347
347
348
349
34â
350
351
352
352
353
357
359
35â
35altar
35i
36
364
368
37
37
37
37
37
371
372
377
37â
38
38
38
38
38
380
381
387
388
39
391
392
399
3knox
3rd
3s
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
40
40
400
41
41
41
41
41
410
42
42
424
43
43
44
44
44
44
45
45
45
45
46
46
46
46
46
46
47
47
47
48
49
4n
4read'withacon
4the
4v
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
50
50
50
50,000
500
50000
51
51
51
51
52
539
54
54
55
55
55l
57
57
58
58
59
59
5â
5â
5i
5ist
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6,7
60
60
61
6116
62
62
62
62
63
63
63
63
64
64
65
656
66
66
662
67
67
67
67
67
68
6â
6â
6d
7
7
7
7
7
7
7
7
7
7
7
7
7,500
70
70
7004
71
71
716
72
72
72
720
73
73
73
74
75
75
75
76
76
77
77
77
78
78
78
7o
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8,870
80
80
81
82
82
82
828
83
84
84
85
86
86
86
87
87
87l
88
89
8vo
8vo
8vo
9
9
9
9
9
9
9
9
9
9
91
92
92
92
93
93
93snap
94
95
95preserve
97
97
97
97
97,131,145
98
98
98
99
99
999
9th
86
86
86
86
87
87l
88
88
88
89
89
89
89
8o
8o
8vo
8vo
8vo
8vo
8vo
9
9
9
9
9
9
9
9
9
9
9
9
90
90
90
90
9030
91
91
91
914,000
92
92
92
92
93
93
93
93
93
93snap
94
94
94
94
94
95
95
96
96
96
96
96
96
96
97
97
97
97
97
97
97,131,145
971
97therefore
98
98
98
98
98
98
99
99
99
99
99
99
99
9i
