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.
There are 5 item(s) in this carrel, and this carrel is 13,831 words long. Each item in your study carrel is, on average, 2,766 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 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.
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:
water, thames, tcp, text, will, eebo, english, made, tei, good, riuer, doth, texts, early, isis, one, oxford, bank, two, bason, make, neare, books, characters, work, encoded, time, breach, haue, new, men, works, river, therefore, may, many, watermen, encoding, online, xml, partnership, phase, wood, cutts, great, image, images, high, well, much
Using the three most frequent words, the three files containing all of those words the most are A new method of Robert Colepepyr, Gent., for speedy and effectual preservation of the navigation on the River Thames and to repair the water-breach in to Havering and Dagenham levels in Essex ..., Taylor on Thame Isis: or The description of the tvvo famous riuers of Thame and Isis, who being conioyned or combined together, are called Thamisis, or Thames With all the flats, shoares, shelues, sands, weares, stops, riuers, brooks, bournes, streames, rills, riuolets, streamelets, creeks, and whatsoeuer helps the said riuers haue, from their springs or heads, to their falls into the ocean. As also a discouery of the hinderances which doe impeache the passage of boats and barges, betwixt the famous Vniuersity of Oxford, and the city of London., and The Watermen and Lightermen''s case in relation to the bill before this honourable House for the explanation of former laws made touching wherrymen and watermen, and joyning the lightermen to them, and providing one good government for both..
The most frequent two-word phrases (bigrams) include:
early english, english books, books online, creation partnership, text creation, wood pile, page images, image sets, represented either, tcp schema, characters represented, mona logarbo, river thames, creative commons, characters marked, thames river, publisher proquest, due credit, tcp files, editorial teams, encoding initiative, web site, print record, tiff page, displayable xml, issued variously, external keying, within braces, characters will, quality assurance, instances per, therefore chose, data within, respectfully request, first edition, readable characters, libraries guidelines, markup guidelines, critical editions, anonymous work, tcp assigned, usual project, without asking, cambridge bibliography, known extent, placeholder characters, text encoding, texts based, will remain, later edition
And the three file that use all of the three most frequent phrases are The Watermen and Lightermen''s case in relation to the bill before this honourable House for the explanation of former laws made touching wherrymen and watermen, and joyning the lightermen to them, and providing one good government for both. A new method of Robert Colepepyr, Gent., for speedy and effectual preservation of the navigation on the River Thames and to repair the water-breach in to Havering and Dagenham levels in Essex ..., and By the King, a proclamation prohibiting dirt-boats and bum-boats upon the river of Thames.
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, thames, weare, watermen, water, tei, riuer, oxford, isis, boats, bason
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 water, and By the King, a proclamation prohibiting dirt-boats and bum-boats upon the river of Thames 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, texts, water, characters, time, work, works, doth, men, xml, books, image, images, page, project, keying, encoding, elements, eebo, edition, data, way, stops, title, riuer, waters, users, sets, selection, schema, riuers, purposes, part, markup, instances, guidelines, editions, want, nature, bridge, springs, reason, place, passage, number, heads, course, boats, t, sullage
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, was, are, were, did, made, have, make, encoded, been, said, had, do, based, neare, represented, published, marked, created, create, corrected, -, given, ''s, take, providing, meet, being, stand, sent, haue, found, downe, came, called, went, using, use, set, remaining, remain, makes, locke, intended, fill, done, described, chosen, bear
An extraction of proper nouns helps you determine the names of people and places in your study carrel.
thames, tcp, water, oxford, bason, isis, bank, text, tei, eebo, 〉, breach, english, ◊, river, cutts, 〈, wood, watermen, proquest, phase, partnership, creation, pile, england, tides, riuer, london, tide, weare, taylor, tame, lightermen, utf-8, unicode, transcribed, p5, online, ncbel, michigan, lord, earth, boats, proponent, new, navigation, haue, foot, doe, ●
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, their, i, they, we, his, them, he, my, our, her, your, me, its, she, him, you, vp, us, theirs, thee, himself
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?"
good, same, early, such, english, many, new, available, high, great, first, more, little, other, last, true, much, small, illegible, general, honourable, due, wide, famous, original, next, large, greater, second, own, doth, usual, textual, syntactic, sweet, subject, structural, scarce, readable, quality, public, possible, overall, most, monographic, lower, lossless, light, later, keyboarded
then, not, so, therefore, there, as, very, now, well, too, out, online, also, more, here, together, sometimes, in, thus, above, yet, usually, over, off, much, variously, respectfully, only, notably, never, mainly, long, even, below, accurately, through, thereof, straight, still, quite, often, most, humbly, however, far, almost, all, vpon, truly, soon
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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