Distant Reader - author-jamesIiKingOfEngland-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 2021-05-23 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 103 item(s) in this carrel, and this carrel is 212,520 words long. Each item in your study carrel is, on average, 2,063 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 79. 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, english, tei, king, texts, will, early, james, england, books, encoded, characters, royal, majesty, first, oxford, xml, encoding, partnership, online, phase, image, time, works, day, shall, proclamation, within, may, one, work, majesties, great, given, project, ii, general, images, edition, page, proquest, creation, markup, data, keying, based, transcribed, available

Using the three most frequent words, the three files containing all of those words the most are The abdicated Bishops letters, to the abdicated King and Queen, under the disguised names of Mr. Redding & Mrs. Redding, To the King''s most excellent Majesty, the humble address of the Presbyterian ministers in His Majesties kingdom of Scotland, and Whereas His Majesty hath been certainly informed of the killing and destroying of the game in and about his honour of Hampton-Court ....

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

early english, english books, books online, text creation, creation partnership, james ii, page images, characters represented, tcp schema, image sets, represented either, spi global, thomas newcomb, privy council, henry hills, will never, displayable xml, tei oxford, strings within, therefore chose, meet qa, anonymous work, pfs batch, external keying, work described, tcp tei, encode one, mainly structural, text encoding, tcp editor, critical editions, errors will, proquest via, characters will, issued variously, compelling reason, markup guidelines, batch review, first editions, tcp aimed, data within, create accurately, user contributors, accurately transcribed, english literature, texts based, character entities, texts created, gap elements, overall quality

And the three file that use all of the three most frequent phrases are By the King, a proclamation. To restrain the spreading of false news By the King a proclamation for the speedy calling of a Parliament., and His Majesties most gracious pardon, pleaded at Justice Hall, in the Old-Bayly on Monday the 7th. of March, anno. Dom. 1687. And in the third year of His Majesties reign..

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, majesty, tei, king, early, james, majesties, england, lord, subjects, london, john, earl, company, wooll, scotland, royal, parliament, pardon, offences, netherlands, indemnity, act, text, russel, robert, religion, redding, privy, petty, persons, party, officers, officer, monmouth, men, man, kingdom, india, house, highness, henry, government, general, esquire, english, edinburgh, duke, deponent, coyn

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 proclamation signifying His Majesties pleasure that all men being in office of government at the decease of the late King, His Majesties most dear and most entirely beloved brother, shall so continue, till His Majesties further direction / James R. 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, books, xml, image, time, works, work, images, project, edition, page, keying, encoding, elements, eebo, data, day, title, subjects, purposes, instances, users, sets, selection, schema, markup, guidelines, editions, proclamation, reason, arms, spi, king, number, terms, nature, mind, assurance, others, credit, re, copy, support, quantities, process, permission, author, kings

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, was, is, were, have, been, are, said, encoded, do, had, given, based, made, did, being, published, make, -, represented, marked, created, create, corrected, take, sent, according, known, meet, printed, use, having, intended, issued, performed, carried, chosen, remain, assigned, returned, providing, appears, bear, reflect, has, divided, distributed, asking, using, understanding

Proper Nouns

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

tcp, james, king, england, text, tei, eebo, english, majesty, oxford, royal, ii, proquest, phase, partnership, creation, london, lord, majesties, earl, god, utf-8, unicode, p5, online, ncbel, michigan, wales, parliament, transcribed, scotland, proclamation, council, sovereign, thomas, duke, kingdom, r., john, persons, sampled, command, privy, henry, court, global, sir, reign, newcomb, edinburgh

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?"

our, his, their, he, we, it, they, them, i, him, you, your, us, himself, my, themselves, me, its, her, thy, theirs, ours, yours, one, she, yourself, ourselves, o, myself, mine, himfelf, beg''d

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?"

early, other, english, such, first, available, own, general, same, great, illegible, good, late, several, true, due, many, second, greater, most, usual, possible, clear, original, subject, large, wide, light, later, textual, syntactic, structural, readable, quality, public, overall, monographic, lossless, keyboarded, financial, external, eligible, editorial, displayable, diplomatic, critical, compelling, commercial, basic, aware

not, so, then, therefore, most, very, now, online, in, out, never, as, also, over, even, hereby, only, sometimes, above, usually, variously, respectfully, notably, mainly, accurately, more, whatsoever, well, there, ever, thereof, up, strictly, first, much, early, further, accordingly, next, yet, therein, still, here, again, once, on, forth, together, particularly, thereby

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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