Anthony Trollope
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 Trollope - 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.
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100
100
100
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129
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13
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17
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170
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174
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10
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104
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12
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13
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130
132
133
133
134
136
137
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14
14
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143
146
15
15
150
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159
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160
160
160
162
163
164
166
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168
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17
17
170
172
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176
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18
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180
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20
20
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2000
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202
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203
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205
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212
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220
223
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232
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24
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260
262
263
264
265
266
271
272
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274
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275
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29
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292
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296
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30
30,000
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302
304
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307
308
309
30th
312
315
316
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318
32
32
32
321
322
323
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326
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33
33
33
330
332
333
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34
34
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35
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36
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38
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4
4
4
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40
400
402
406
407
408
41
41
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43
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432
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434
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437
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45,000
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5
5
5
5
5
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50
50
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51
52
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56
57
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6
6
6
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60
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62
64
65
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66
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7
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72
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76
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8
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80
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80a
82
824
84
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86
87
89
8th
8th
9
9
90
90
92
94
95
96
97
98
9d
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2
2
2
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2
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20
20
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206
207
208
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21
21
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217
217
218
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22
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220
221
223
226
227
227
229
23
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231
232
233
234
235
236
237
238
239
23rd
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24
24
240
241
242
243
244
245
246
247
247
249
24th
24th
25
25
25
25
25
25,996
250
250
251
252
253
254
255
256
256
257
25th
26
26
26,666
260
261
262
263
264
265
266
267
268
27
27
271
272
274
275
275
275
276
277
279
28
28
28
28
281
282
283
286
2860
288
28th
28th
28th
29
29
29
29
29
29
29,999
291
2913
292
293
296
298
299
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3
3
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3
3
3
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3
3
3
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3
3
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3
3
3
3
3
3
3
3
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3
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3
3
3
3
3
3
3
3
3
3
3
3
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3
3
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3
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3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3,000
3,696
3,999
30
30,000
30,000
300
300,000
3000
301
302
303
304
3045
305
306
307
308
308
309
31
31
31
310
311
312
313
315
315
316
3166
317
318
32
32
320
321
322
322
323
325
326
328
329
33
33
33
33
330
331
332
334
335
337
338
339
34
34
34
340
341
342
344
347
348
349
35
35
350
350
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352
353
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356
357
358
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36
36
360
361
362
363
365
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37
370
372
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374
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376
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38
38
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384
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3rd
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4
4
4
4
4
4
4
4
4
4
4
4
4
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40
40
40,806
400
4000
401
402
403
406
407
41
41
410
412
414
415
416
418
419
42
421
422
423
424
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43
43
430
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432
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44
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47
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49
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5
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50
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50
50
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500
5000
51
51
52
52
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53
53
54
55
55
56
56
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57
57
58
58
59
59
59,999
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6
6
6
6
6
6
6,000
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60
60
60,000
600
61
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62
62
62
62
63
63
64
64
65
65
650
66
66
66
67
67
68
68
69
69
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7
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7
7
7
7,089
7.52
70
70
706
71
72
72
72
73
73
7381
74
74
75
75
750
76
77
77
78
78
79
79
7â
7â
7o
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8,696
80
80
800
8000
80a
81
813
82
82
824
827
83
83
84
84
844
85
85
855
86
86
86
869
87
87
88
89
89
8th
9
9
9
9
9
9
9
9
9
9
9
9
90
90
90
91
91
915
92
92
93
93
94
94
95
96
96
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
97
98
98
9â
9d
9d
9s
9th
