subject-shortStoriesCanadian-gutenberg
Introduction
This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.
This study carrel was created on 2021-06-09 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader gutenberg process, and the input was the result of a query applied to a local mirror of Project Gutenberg -- facet_subject:"Short stories, Canadian". Then, for future reference, the results were saved to a Zip file complete with rudimentary bibliographics. The name of the file is input-file.zip. The Zip file was then unpacked and the contents saved to a cache as well as a directory of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.
All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.
Size
There are 26 item(s) in this carrel, and this carrel is 532,105 words long. Each item in your study carrel is, on average, 26,605 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.
Readability
On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 91. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.
Word Frequencies
By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:
one, man, little, like, now, came, old, pierre, come, eyes, back, will, face, go, time, good, life, two, away, see, well, day, never, know, made, night, great, long, men, hand, got, went, way, saw, last, say, looked, head, knew, father, heart, thought, just, get, yet, still, door, half, though, first
Using the three most frequent words, the three files containing all of those words the most are Trail-Tales of Western Canada, The Backwoodsmen, and The Black Creek Stopping-House, and Other Stories.
The most frequent two-word phrases (bigrams) include:
old man, pretty pierre, one day, come back, shon mcgann, far away, sergeant tom, years ago, two men, long time, came back, sir duke, go back, ten years, rance belmont, white man, will go, little hammer, will come, far north, one night, father corraine, little baptiste, old woman, long ago, five years, stood still, sergeant fones, next day, drew back, must go, thousand dollars, duke lawless, one man, scarlet hunter, let us, young man, old john, one thing, john thomas, great slave, first time, last night, aunt kate, pipi valley, three years, black creek, twenty years, silver tassel, two years
And the three file that use all of the three most frequent phrases are Pierre and His People: Tales of the Far North. Volume 2. Pierre and His People: Tales of the Far North. Volume 1., and Northern Lights, Volume 3..
While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:
Keywords
Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:
pierre, man, fort, shon, mr., john, mrs., come, tom, sergeant, little, lawless, jake, god, george, brydon, young, york, wonta, west, water, verbitzsky, varley, valley, val, trafford, tougal, time, tim, throng, thomas, terry, tassel, tarlton, tarboe, tall, superintendent, stumpy, stone, stewart, slave, sir, sinnet, simon, silver, sheriff, shaw, scot, savarin, sally
And now word clouds really begin to shine:
Topic Modeling
Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be said, and Old Man Savarin, and Other Stories is most about that word.
If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:
- said - Northern Lights, Volume 2.
- little - The Backwoodsmen
- said - Old Man Savarin, and Other Stories
If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:
- said, man, life - Northern Lights, Volume 2.
- said, pierre, man - A Romany of the Snows, vol. 4 Being a Continuation of the Personal Histories of "Pierre and His People" and the Last Existing Records of Pretty Pierre
- little, old, said - The Backwoodsmen
- man, said, little - Trail-Tales of Western Canada
- like, old, man - The Land of Look Behind
Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:
Noun & Verbs
Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":
man, eyes, face, time, life, day, night, men, hand, way, head, heart, woman, door, girl, voice, years, father, something, moment, thing, nothing, mother, house, hands, things, child, words, fire, room, world, one, wife, people, feet, place, word, days, mind, home, look, snow, water, morning, boy, name, hour, side, light, end
An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:
was, had, is, said, be, were, ''s, have, do, been, did, came, come, go, are, see, know, made, got, went, saw, looked, say, knew, get, ''ve, seemed, has, turned, tell, take, think, make, put, stood, heard, gone, thought, told, asked, seen, let, took, going, ''m, done, give, felt, sat, left
Proper Nouns
An extraction of proper nouns helps you determine the names of people and places in your study carrel.
pierre, _, mrs., god, john, shon, fort, mr., jim, sergeant, george, macavoy, father, tom, corbett, ye, lawless, west, fred, gammit, north, jen, indians, company, pretty, house, bill, sir, man, dave, dat, thou, red, mcgann, jimmy, indian, galbraith, valley, old, baptiste, duke, de, jack, thomas, tarboe, black, angus, grassette, mcwha, st.
An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"
he, his, it, i, you, her, she, him, they, me, my, them, we, their, your, its, himself, us, our, herself, itself, myself, one, themselves, ''em, yourself, thy, yours, thee, mine, hers, ''s, ourselves, em, ye, theirs, ours, meself, yerself, yer, i''m, you''re, here''s--, yourselves, well,--the, thyself, oneself, nev, ha, ay
Below are words cloud of your study carrel's proper & personal pronouns.
Adjectives & Verbs
Learning about a corpus's adjectives and adverbs helps you answer how questions: "How are things described and how are things done?" An analysis of adjectives and adverbs also points to a corpus's overall sentiment. "In general, is my study carrel positive or negative?"
little, old, good, other, great, more, last, own, long, white, many, few, young, big, same, much, first, dead, such, right, new, poor, wild, full, red, bad, sure, strange, open, hard, next, cold, better, black, small, best, clear, only, dark, heavy, half, strong, deep, quick, indian, true, silent, low, free, sick
not, then, so, n''t, up, out, now, again, back, down, away, here, never, only, there, too, just, once, still, all, on, as, more, ever, very, even, far, over, off, well, in, yet, suddenly, almost, always, long, slowly, first, soon, perhaps, also, much, together, enough, before, no, presently, however, ago, quite
Next steps
There is much more to a study carrel than the things outlined above. Use this page's menubar to navigate and explore in more detail. There you will find additional features & functions including: ngrams, parts-of-speech, grammars, named entities, topic modeling, a simple search interface, etc.
Again, study carrels are self-contained. Download this carrel for offline viewing and use.
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