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 2021-05-24 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.
There are 26 item(s) in this carrel, and this carrel is 80,408 words long. Each item in your study carrel is, on average, 3,092 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.
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 86. 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.
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:
text, now, english, tcp, will, god, us, may, dutch, shall, one, early, eebo, men, make, doth, yet, first, day, great, like, time, books, tei, lord, sea, see, war, made, let, fleet, texts, encoded, king, online, might, works, though, good, fire, england, fight, many, phase, xml, london, two, still, characters, within
Using the three most frequent words, the three files containing all of those words the most are Seasonable thoughts in sad times being some reflections on the warre, the pestilence, and the burning of London, considered in the calamity, cause, cure / by Joh. Tabor., Sigh for the pitchers breathed out in a personal contribution to the national humiliation the last of May, 1666, in the cities of London and Westminster, upon the near approaching engagement then expected between the English and Dutch navies : wherewith are complicated such musings as were occasioned by a report of their actual engagement, and by observing the publike rejoycing whilst this was preparing by the author / George Wither., and The second and third advice to a painter, for drawing the history of our navall actions, the two last years, 1665 and 1666 in answer to Mr. Waller..
The most frequent two-word phrases (bigrams) include:
early english, english books, books online, text creation, creation partnership, page images, early works, mona logarbo, image sets, tcp schema, characters represented, represented either, dutch war, creative commons, tiff page, institutions providing, financial support, markup reviewed, images scanned, encoded edition, commercial purposes, pfs batch, online text, tcp assigned, encoded text, text transcribed, asking permission, bit group, image set, providing financial, batch review, without asking, iv tiff, proquest page, xml conversion, work described, great britain, lord protector, gap elements, charles ii, textual changes, page image, logarbo sampled, logarbo text, general aim, errors will, two phases, using tcp, first editions, quality assurance
And the three file that use all of the three most frequent phrases are The valiant hearted sea-man; declaring a late skirmish fought between our English fleet and the Dutch. Wherein the Dutch was worsted, two of the Dutch ships sunk, and two taken as lawful prize, with a very small loss on the English side. The tune is, Lusty Stukely. Proclamation for the Convention of Estates, and A proclamation for publishing the peace between His Majesty and the States-General of the Vnited Netherlands..
While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:
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, english, dutch, fleet, sea, scotland, parliament, lord, king, war, tei, majesty, god, duke, state, provinces, protector, prince, plagues, plague, painter, navy, nation, man, london, land, humiliations, hollanders, highness, gods, george, generall, gen., french, foes, england, eebo, council, city, church
And now word clouds really begin to shine:
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 Ingratitude reveng''d, or, A poem upon the happy victory of His Majesties naval forces against the Dutch, June the 3 and 4, 1665 under the auspicious conduct of His Royal Highness James Duke of York, Lord Admiral of England &c. 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:
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, men, day, time, texts, works, doth, xml, characters, books, images, image, page, fire, work, ships, t, edition, keying, eebo, hath, elements, sin, death, way, people, sins, project, others, encoding, data, title, end, peace, side, purposes, blood, users, markup, hearts, life, p., things, cause, war, none, hand, words, victory, foes
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:
be, is, are, was, have, were, do, did, been, make, had, see, made, let, encoded, take, come, based, ''s, sent, give, published, given, done, -, think, know, said, set, being, according, meet, has, find, fight, bear, fear, say, corrected, came, represented, marked, created, create, keep, bring, thought, providing, performed, lost
An extraction of proper nouns helps you determine the names of people and places in your study carrel.
tcp, god, english, dutch, lord, text, sea, england, london, king, fleet, eebo, tei, war, oxford, duke, creation, proquest, phase, partnership, gods, hath, transcribed, thou, printed, prince, online, thomason, land, city, great, scotland, highness, george, plague, navy, holland, wing, royal, mona, logarbo, books, parliament, utf-8, unicode, state, p5, ncbel, michigan, majesty
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, his, our, they, we, i, he, it, them, us, him, your, you, my, her, me, thy, its, themselves, she, thee, himself, theirs, ours, one, vvith, vvhat, ts, ourselves, mine, heav''n, gods, us''d, urs, l, judg''d, inslav''d, bauds, ''s
Below are words cloud of your study carrel's proper & personal pronouns.
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, early, english, more, own, great, many, good, first, other, available, true, last, general, same, much, most, greater, dutch, late, whole, textual, second, sad, illegible, few, due, new, old, doth, anglo, keyboarded, financial, commercial, long, less, little, bold, third, poor, proofread, happy, common, clear, better, vain, small, original, next, free
not, now, so, then, more, out, up, still, thus, too, therefore, yet, here, as, there, even, never, online, first, away, in, most, early, down, much, very, soon, far, again, well, together, just, ever, no, only, above, once, over, before, also, sometimes, alone, all, forth, usually, rather, oft, less, thereof, home
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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