P-7-25-20-1

Edgar Allan Poe
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 Poe - 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 06 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;4 10 10 10 10 10 10â 11 11 11 110 118 11th 12 12 12th 13 13 13 133 14 14 14â 14th 15 15 15 15 15 150 15â 15th 16 16 16 161 167,000 16th 17 17 17 17 17 1780 1790 1791 18 18 18 18 18 18 1813 1823 1827 1827 1827 1827 1827 1827 1827 1827 1828 1829 1829 1831 1831 1833 1835 1835 1835 1836 1838 1840 1844 1845 1845 1845 1845 1845 1847 1847 1847 1848 1849 1849 1849 1875 188 18th 19 19 19 19 19 19th 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 20 20 20 20 20 20 20â 21 21 21 21 21 2147 2148 2149 2150 2151 22 22 22 228 22d 23 23 23 24 24 25 25 25 25 25â 26 26 27 27 27 27â 28 28 2848 28â 29 29 29 29â 2d 3 3 3 3 3 3 3 3 3 3 30 30 30 30 30 305 30â 31 31 31 33 34 34 34;48 35 37 37 37 3d 3d 4 4 4 4 4 4 4 4 4 4 4 4 4 40 4069285 40â 41 42 43 46 46 46â 47 48 48 48 4826 485 485â 48â 48â 4956 4â 4â 4â 4â 4th 4th 4th 5 5 5 5 5 5 5 5 5 5 5 5 5 5 528806 52â 53 53 53â 53â 57â 58â 5â 5th 5th 6 6 6 6 6 6 60 61 64 67 69 69 6â 6â 6th 6th 0 0 06 1 1 1 1 1 1 1,000 1,356 10 10 10 110 118 11th 13 13 132,000 14 14th 15 15,000 15â 167,000 1790 1820 1823 1827 1827 1827 1827 1827 1827 1827 1827 1829 1829 1831 1838 1840 1844 1845 1845 1845 19th 2 2 2 2 2 2 2 2 2 2 2,230,272,000 20â 20â 2147 2148 2149 215 2150 2151 231,920 237,000 240 25 25,000 2500 26 26,400 27 27â 28â 29 3 3 3 3 3 3 3 30â 30â 31 32 33 35 37 4 4 4 4,071 40 40,000 4000 41 42 43 46 47 48 48 4th 5 5 5,080 5,376 50 50 53 5th 6 6 60 61 61 64 67 69 7 7 7 70 71 73 78 7th 8 8 8 83 9 90 90 9th 7 7 7 7 7 7 7 7 7 70 73 76 78 7th 7th 7th 8 8 8 8 8 8 8 806 81 83 83 83 85;1â 85;4 88 88 88;4 8â 8â 8â 8â 8â 8â 8th 8th 9 9 9 9 9;48 9;48081;8 90 900,000,000 95 96 9th 9th 9th