Distant Reader - subject-ship-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 24 item(s) in this carrel, and this carrel is 329,241 words long. Each item in your study carrel is, on average, 13,718 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 90. 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:

xml, id, lemma, pos, pc, acp, reg, hi, rendition, us, one, shall, sentence, king, unit, av, may, will, time, great, made, cs, ship, vvi, first, sp, speaker, now, vvb, pns, men, two, man, text, cc, sea, much, yet, po, ships, many, bee, parliament, good, god, day, law, people, make, english

Using the three most frequent words, the three files containing all of those words the most are Mercurius Britannicus, or The English Intelligencer (The Censure of Judges, or The Court Cure), Articles of accusation, exhibited by the Commons House of Parliament now assembled, against Sr. John Bramston Knight, Sr. Robert Berkley Knight, justices of His Majesties Bench, Sr. Francis Crawley Knight, one of the justices of the Common-Pleas, Sr. Humphrey Davenport Knight, Sr. Richard Weston Knight, and Sr. Thomas Trevor Knight, barons of His Majesties Exchequer, and The arguments of Sir Richard Hutton, Knight, one of the judges of the Common Pleas, and Sir George Croke, Knight, one of the judges of the Kings Bench together with the certificate of Sir John Denham, Knight, one of the Barons of the Exchequer, vpon a scire facias brought by the Kings Majesty in the Court of Exchequer against John Hampden, Esquire : as also, the severall votes of the Commons and Peeres in Parliament, and the orders of the Lords for the vacating of the judgement given against the said Mr. Hampden, and the vacating of the severall rolls in each severall court, wherein the judges extrajudiciall opinions in the cases made touching ship-money are entred..

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

pc xml, pos acp, rendition hi, unit sentence, pos av, cs xml, vvi xml, pos vvi, vvb xml, pos vvb, pos pns, pns xml, pos po, po xml, cc xml, av xml, pos cc, pos vvn, vvn xml, nn xml, pos vvz, vvz xml, pn xml, pos pn, sp xml, pos cs, vvd xml, pos vvd, pos crq, sp sp, ab xml, sentence speaker, pos vmb, pno xml, pos pno, vmb xml, english books, early english, hi reg, pos vvg, pos uh, vvg xml, uh xml, books online, will pos, lemma will, xx xml, pos xx, lemma man, man pos

And the three file that use all of the three most frequent phrases are Mercurius Britannicus, or The English Intelligencer (The Censure of Judges, or The Court Cure) An advertisement shewing that all former objections against the mill''d-lead sheathing have been answered by the navy-board themselves. And what''s lately objected, is answered herein, as follows., and To the Right Honorable the Commons assembled in Parliament the humble petition and representation of divers well-affected masters and commanders of ships;.

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, sea, king, ship, parliament, law, subjects, majesty, majesties, lord, london, kingdome, god, exchequer, english, england, early, boat, xml, writ, world, wife, unit="sentence">.,

And now word clouds really begin to shine:

keywords

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 a29238, and The compleat ship-wright plainly and demonstratively teaching the proportions used by experienced ship-wrights according to their custome of building, both geometrically and arithmetically performed : to which by Edmund Bushnell, ship-wright. 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?":

xml, id="a29238, pc, p, time, pos="n1, pos="n2, men, ship, pos="vvi, people, day, ships, times, man, cs, text, length, >, charge, others, money, subjects, part, danger, place, line, side, kings, power, foot, house, case, things, goods, cap, number, inches, way, texts, reason, defence, words, thing, pos="n1-nn, manner, nothing, hand, r, water

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, be, id="a29238, were, said, had, have, are, being, made, did, been, having, make, came, say, take, see, bee, taken, done, do, come, given, according, brought, give, went, found, put, go, set, sent, called, let, encoded, granted, gave, left, concerning, pos="av_j, lay, began, lemma="your, took, saw, pay, thought, know

Proper Nouns

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

w, id="a29238, pos="acp, pos="d, king, pos="j, lemma="the, pos="vvb, pos="pns, lemma="be, god, parliament, sea, pos="cc, xml, pos="po, tcp, lemma="of, england, pos="vvn, lemma="and, 〉, law, /p, sir, pos="vvz, pos="av, writ, sp, speaker, pos="pn, ◊, ●, pos="crq, lemma="a, lord, unit="sentence"/, pos="n, 〈, english, court, majesties, lemma="in, c., indians, lemma="have, kingdome, hath, london, lemma="that

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?"

it, his, we, they, their, i, he, our, them, us, him, her, my, your, you, she, me, themselves, thy, himself, its, thee, one, ours, severall, theirs, mine, lemma="himself, ourselves, lemma="give, ●, †, w, vvith, urg''d, non, myself, lemma="cipher, id="a29238-e104720, id="a29238-e101810, id="a29238-e101110, ia, hitherto, hee, bnt, accidit, ''s

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?"

pos="n1, other, such, great, unit="sentence">.

not, so, then, now, therefore, as, very, also, more, up, out, thus, most, here, well, first, much, onely, there, yet, thereof, down, together, away, only, never, in, ever, over, about, therein, again, even, off, before, forth, long, all, too, especially, rather, often, soon, just, almost, enough, further, sometimes, afterwards, still

adjectives

adverbs

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.