Distant Reader - subject-missingChildren-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 2021-06-07 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:"Missing children". 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 25 item(s) in this carrel, and this carrel is 1,120,916 words long. Each item in your study carrel is, on average, 48,735 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 88. 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, little, now, time, like, will, go, well, see, mr, come, good, boy, back, know, much, made, two, way, away, just, get, came, man, must, long, day, us, say, think, make, first, old, never, dexter, might, right, thought, mrs, yes, house, went, take, great, miss, found, young, going, look, sir

Using the three most frequent words, the three files containing all of those words the most are Quicksilver: The Boy With No Skid to His Wheel, Taking Tales: Instructive and Entertaining Reading, and The Golden Shoemaker or ''Cobbler'' Horn.

The most frequent two-word phrases (bigrams) include:

cobbler horn, aunt nancy, monsieur roger, mary erskine, aunt dorcas, little woman, mary bell, miss jemima, camp fire, sir james, ethel blue, come back, little girl, monsieur dalize, ethel brown, go back, master plummer, great deal, little yi, miss owen, let us, golden shoemaker, one day, young man, one side, oak knowe, new york, good deal, captain dawson, every one, next day, old man, take care, vose adams, hung li, cried dexter, long time, first time, next morning, miss miette, cried bob, every day, came back, jack dear, lady principal, farmer grey, old woman, young secretary, binney gibbs, must go

And the three file that use all of the three most frequent phrases are Jack the Hunchback: A Story of Adventure on the Coast of Maine Chita: A Memory of Last Island, and The Castaways of Pete''s Patch (A Sequel to The Adopting of Rosa Marie).

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:

mr., miss, mrs., god, illustration, new, little, james, come, boy, aunt, roger, robin, mrs, master, mary, look, like, joseph, joe, jack, henry, helen, grey, general, farmer, dorothy, dick, black, billy, bill, betty, albert, york, wolf, winifred, willoughby, williams, wilhelm, whale, weber, water, wapaw, walter, wade, vose, viosca, tross, trescott, treat

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 A Waif of the Mountains 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:

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, little, time - Taking Tales: Instructive and Entertaining Reading
said, dexter, boy - Quicksilver: The Boy With No Skid to His Wheel
mr, said, ll - Campmates: A Story of the Plains
monsieur, said, roger - In Search of a Son
little, said, nelly - Little Frida: A Tale of the Black Forest

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?":

time, boy, way, man, day, house, one, child, hand, night, face, place, eyes, doctor, water, head, room, mother, men, side, work, woman, moment, sir, father, boys, something, things, life, nothing, thing, morning, girl, anything, children, door, girls, friend, feet, fire, hands, people, name, words, air, mind, boat, home, days, friends

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, be, is, said, have, were, do, ''s, been, did, are, go, see, come, know, made, get, came, think, make, say, has, went, take, found, going, let, asked, got, cried, seemed, ''ve, thought, looked, ''m, tell, am, put, find, done, look, give, took, saw, told, want, began, being, heard

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

_, mr., dexter, miss, mrs., mary, jack, aunt, bob, roger, horn, joe, glen, dorothy, helen, cobbler, monsieur, betty, nancy, black, god, erskine, paul, bell, jemima, james, master, hal, dorcas, ethel, dick, chapter, sir, miette, mabel, mr, roy, dave, peter, polly, frida, new, mrs, daisy, dr., robin, dan, joseph, crane, tommy

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, i, it, his, you, her, she, they, him, we, them, me, their, my, your, us, himself, its, our, herself, themselves, ''em, myself, itself, yourself, ''s, one, mine, yours, ourselves, hers, em, theirs, ours, thy, hisself, ye, thee, i''m, yer, you''ll, wigwam, yerself, maself, it''s, himself,--, ha, d''yer, ay, yourselves

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, other, good, old, more, great, young, few, own, many, much, long, same, first, last, poor, such, new, sure, small, right, several, next, ready, full, big, large, better, dear, white, whole, able, best, glad, bad, possible, hard, afraid, dark, short, strange, certain, true, open, dead, only, black, most, strong, fine

not, n''t, so, then, up, now, out, very, here, as, down, just, away, only, back, again, there, more, too, never, off, on, well, all, once, still, soon, even, much, ever, in, almost, over, always, far, long, enough, right, yet, most, first, however, also, quite, perhaps, before, rather, nelly, home, suddenly

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.

Thank you for using the Distant Reader.