P-6-27-20-1

Leo Tolstoy
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:
  1. Words were stemmed.
  2. 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 Tolstoy - 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 hairstyle.  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

0 0 0 0 07 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 1,452 1,455 1,800 10 10 10 10 10 10 10 10 10,000 10,000 1000 109 11 11 11 117 12 12 12 12 12 12 12 13 13 13 13 13 133 139 1399 14 14 14 14 14 1454 15 15 150,000 15th 16 16 16 16 16 16 16 164 17 17 17 17 1729 17th 17th 18 18 18 18 18 18 18 18 1805 1805 1805 1805 1805 1806 1807 1807 1807 1809 1809 1812 1812 1812 1812 1812 1812 1812 1812 1812 1812 1813 1820 1838 184 1864 1869 188 188 1882 1886 1888 1890 1891 19 19 1938 1997 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 2,500 2,500 20 20 20 20 20 20 200,000 2004 2009 2009 2013 2016 208 208 21 21 21 21 21 21 2142 22 22 23 23 23 235 23rd 24 24 24th 25 25 25 25 25 25 25th 26 26 26 26 26 2600 27 27 27 27 278 28 28 28th 29 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 30 30 30 30 30 300 31 31 32 32 32 32 33 33 33 33 34 34 34 35 36 37 38 39 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 40 40 42 42 43 43 43302 46 4761 48 48 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 50 50 50 50 561 562 571 572 5th 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6157 6157 6157 666 689 6â 7 7 7 7 7 7 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1,000 1,452 1,500 1,800 10 10 10 10 10 10 10 10 10 10,000 10,000 100 100 100 100 100,000 100,000 1000 102 109 10â 11 11 11 11 11 11 11th 12 12 12 12 12 12 12 12 12 12 12 12,000 125 127 13 13 13 13 13 130 130 133 139 1399 13th 14 14 14 140 15 15 15 15 15 15 150,000 16 16 16 16 16 160,000 164 17 17 17th 17th 17th 17th 17th 18 18 18 18 18,000 1805 1805 1805 1805 1806 1807 1807 1808 1809 1809 1809 1809â 1811 1811 1812 1812 1812 1812 1812 1813 1813 1813 1813â 1815 1820 184 1864 188 1882 1886 1891 18th 18th 19 19 1938 1997 1st 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2,000 2,500 20 20 20 20 20 20 20 200,000 2004 2013 2016 21 21 21 21 2142 217 22 22 22nd 23 23 23 235 23rd 24 24th 25 25 25 25 25 250 25th 26 26 264 27 27 278 28 28 28 28th 29 29 29 3 3 3 3 3 3 3 3 3 3 3 3 3 3,000 3,800 30 30 300 3000 31 31 312 32 32 33 33 33 34 34 36 3rd 3rd 4 4 4 4 4 4 4 4 4 4 40 40 40 40 40 43302 45 4761 48 4th 5 5 5 5 5 5 5 5 5 5 50 50 500 566 5th 5th 6 6 6 6 6 6 6 6 60 600 6157 6157 638 64 666 67 689 6â 6th 7 7 7 7 7 7 7 700 7000 79 8 8 8 80 800 86th 8th 9 9 9 9 9 93 985 986 986 995 9th 7 7 7 7 7000 71 79 8 8 8 8 8 8 8 8 8 80 80 817 817 85 9 9 9 9 9 9 9 9 9 9 93 985 986 986 986 995 9th