Distant Reader - subject-storms-freebo

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 2021-05-25 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader zip2carrel process, and the input was a Zip file locally cached with the name input-file.zip. Documents in the Zip file have been saved in a cache, and each of them have been transformed & saved as a set 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 4 item(s) in this carrel, and this carrel is 12,459 words long. Each item in your study carrel is, on average, 3,114 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:

tcp, text, eebo, vs, one, english, tei, will, early, may, texts, like, thunder, oxford, sea, great, encoded, characters, books, clouds, god, works, yet, storm, haue, therefore, online, xml, shall, partnership, vp, phase, encoding, first, now, men, images, tempest, bodies, elements, vapours, wind, either, work, lightning, image, make, many, much, england

Using the three most frequent words, the three files containing all of those words the most are A strange relation of the suddain and violent tempest, which happened at Oxford May 31, Anno Domini 1682 together with an enquiry into the probable cause and usual consequents of such like tempests and storms., Looke vp and see vvonders A miraculous apparition in the ayre, lately seene in Barke-shire at Bawlkin Greene neere Hatford. April. 9th. 1628., and A description of a great sea-storm, that happened to some ships in the Gulph of Florida, in September last; / drawn up by one of the company, and sent to his friend at London..

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

early english, english books, books online, text creation, creation partnership, page images, represented either, image sets, characters represented, tcp schema, early works, violent tempest, let vs, bawlkin greene, looke vp, due credit, fourteen men, public domain, create accurately, tcp data, image set, mnemonic sdata, true nature, will never, texts based, per text, mainly structural, meet qa, therefore chose, project restraints, errors will, tcp editor, ascii text, encode one, quality assurance, notably latin, respectfully request, like tempests, remaining illegibles, syntactic tagging, tcp texts, usual project, make clear, character entities, encoded texts, first editions, create diplomatic, general aim, online text, libraries guidelines

And the three file that use all of the three most frequent phrases are A description of a great sea-storm, that happened to some ships in the Gulph of Florida, in September last; / drawn up by one of the company, and sent to his friend at London. Strange and terrible news from sea., or:, A true relation of a most wonderful violent tempest of lightning and thunder. On Fryday, the 18th. of this instant Jan. 1678. : Whereby the main-mast of a ship, riding at anchor off of Cows was split from the top to the bottom: : fourteen men upon the upper deck, and three between decks struck, and five of them left for dead, their eyes and teeth being immoveable, and their bodies stincking so of sulpher, that none could endure the smell. : With several other lamentable passages communicated in a letter from a gentleman on board, to a friend in Cheap-side. / With allowance, R. L''Estrange., and A strange relation of the suddain and violent tempest, which happened at Oxford May 31, Anno Domini 1682 together with an enquiry into the probable cause and usual consequents of such like tempests and storms..

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:

tcp, early, vapours, thy, storm, sea, oxford, heauen, god, english, clouds

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 text, and A description of a great sea-storm, that happened to some ships in the Gulph of Florida, in September last; / drawn up by one of the company, and sent to his friend at London. 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:

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?":

text, texts, characters, works, thunder, xml, storm, images, books, men, image, work, project, parts, page, keying, encoding, elements, eebo, edition, data, lightning, vapours, time, tempest, t, instances, wind, way, water, users, title, sets, selection, schema, rain, purposes, others, number, markup, guidelines, friend, eyes, editions, day, bodies, times, reason, air, ▪

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, is, are, be, were, have, had, been, being, encoded, make, did, based, made, happened, let, take, set, represented, published, marked, has, followed, do, created, create, corrected, -, sent, see, haue, described, say, left, known, continued, caused, according, transcribed, taken, struck, remaining, put, meet, heard, fell, fall, divided, carried, blessed

Proper Nouns

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

tcp, oxford, god, text, tei, eebo, sea, english, england, clouds, proquest, phase, partnership, creation, vp, thou, london, heaven, heauen, winds, utf-8, unicode, sun, p5, online, ncbel, motion, michigan, west, wee, transcribed, l''estrange, exhalations, earth, cloud, bodies, wind, vs, thunder, tempest, t, storms, south, roger, john, greene, bin, ayre, world, university

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?"

their, it, our, we, they, his, them, i, thy, him, he, you, its, her, us, thee, my, your, themselves, she, me, vnto, one, himself

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?"

such, other, great, early, english, many, first, several, more, available, strange, general, true, own, good, usual, terrible, illegible, violent, second, original, greater, upper, strong, much, little, wonderful, whole, wee, small, same, quick, probable, miraculous, main, light, large, few, due, clear, wide, very, textual, syntactic, subject, structural, readable, quality, public, possible

so, not, then, more, therefore, now, out, vs, up, here, very, never, together, still, in, as, yet, sometimes, online, too, off, much, most, even, variously, usually, thus, early, down, only, less, easily, there, respectfully, over, once, notably, mainly, lately, last, downwards, also, accurately, above, about, presently, perhaps, onely, no, neere

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.