author-shirleyJames-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 42 item(s) in this carrel, and this carrel is 7,318,278 words long. Each item in your study carrel is, on average, 174,244 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.

left image
histogram of sizes
left image
box plot of sizes

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 100. 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.

left image
histogram of readability
left image
box plot of readability

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, reg, acp, sentence, unit, sp, speaker, vvi, vvb, pns, av, po, ab, type, cs, pn, contract, cc, seg, hi, rendition, vvz, pno, vmb, vvn, will, nn, join, crq, left, vvd, shall, note, label, sic, corr, xx, stage, sir, may, love, now, vmd, make, must, enter

Using the three most frequent words, the three files containing all of those words the most are The Grateful Servant, The School of Compliment, and The Lady of Pleasure.

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

pc xml, pos acp, unit sentence, pos vvi, vvi xml, pos vvb, vvb xml, pos pns, pns xml, pos po, po xml, pos av, sp xml, ab xml, sentence speaker, sp sp, cs xml, av xml, pos pn, type contract, pn xml, cc xml, pos cc, pos vvz, rendition hi, pos pno, pos vmb, pno xml, pos vvn, vvn xml, vvz xml, nn xml, vmb xml, pos crq, contract lemma, join left, pos vvd, vvd xml, pos cs, will pos, lemma will, pos xx, xx xml, lemma shall, shall pos, pos vmd, vmd xml, pos uh, vvz reg, note note

And the three file that use all of the three most frequent phrases are The School of Compliment Changes, or Love in a Maze, and The Grateful Servant.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

left image
unigrams
left image
bigrams

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:

xml, speaker, pos="po, pos="pns, pos="n1, pos="d, pos="crq, pos="cc, pos="av, pos="acp, lemma="you, lemma="the, lemma="be, lemma="and, pos="n1-nn, lemma="i, lemma="have, type="contract2, seg, lemma="will, lemma="we, lemma="but, pos="xx, pos="av_j, note, lemma="not, lemma="his, lemma="do, lemma="all, stage, reg="''ll, pos="uh, pos="fw, lemma="shall, lemma="for, label, join="left">''si,
left image
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 xml, and The Bird in a Cage (The Beauties) 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:

  1. xml - The Grateful Servant
  2. xml - The School of Compliment
  3. a12137 - Six new playes ... the five first were acted at the private house in Black Fryers with great applause, the last was never acted / all written by James Shirley.

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:

  1. xml, id, lemma - The Lady of Pleasure
  2. xml, id, lemma - The School of Compliment
  3. xml, id, pos - The Opportunity
  4. xml, id, pos - The Grateful Servant
  5. shall, sir, thy - Six new playes ... the five first were acted at the private house in Black Fryers with great applause, the last was never acted / all written by James Shirley.

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

left image
topic model

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, pc, l, p, >, pos="n1, pos="vvi, pos="n2, cs, id="a12152, id="a59979, id="a93170, pos="po, id="a93166, q, w, pos="n1-nn, cc, id="a12128, av, stage, sic, r, x, speaker, lemma="make, id="a59990, type="contract1">i.''towne''toh

id="a18427, id="a12151, lemma="i, lemma="your, note, is, be, pos="av_j, have, lemma="be, lemma="love, lemma="by, lemma="come, lemma="more, are, was, lemma="think, id="a12150, lemma="take, were, had, lemma="tell, lemma="duke, lemma="hear, do, lemma="well, id="a59979, am, lemma="king, lemma="great, lemma="lose, lemma="again, make, pos="acp, lemma="name, lemma="live, ''s, lemma="at, lemma="father, lemma="speak, let, lemma="life, know, lemma="thing, lemma="first, lemma="friend, enter, made, lemma="prince, come

left image
nouns
left image
verbs

Proper Nouns

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

w, pos="acp, pos="d, xml, pos="vvb, pos="pns, id="a12142, unit="sentence"/, sp, pos="j, pos="n, id="a12137, id="a12158, speaker, id="a12145, id="a12135, id="a12150, id="a12157, id="a12148, id="a93167, id="a12149, id="a12140, lemma="be, pos="po, id="a12141, pos="pn, id="a12129, id="a12143, id="a12138, id="a59990, lemma="i, pos="cc, id="a93166, id="a93170, pos="vvz, id="a12128, lemma="and, lemma="the, pos="pno, id="a12152, pos="vmb, id="a12155, lemma="you, id="a12130, lemma="a, pos="vvn, id="a93178, pos="av, id="a12133, pos="crq

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?"

i, you, my, your, me, it, his, he, her, their, him, they, we, our, she, thy, them, us, thee, w, themselves, ''em, who="a18427-bostocke, himself, lemma="thyself, lemma="throw, mine, em, l, its, yours, lemma="himself, lemma="breast, lemma="gull, ile, ''s, lemma="back, ours, one, your, ye, na, vvith, vvhat, on''t, iu, ha, us''d, lemma="matron

Below are words cloud of your study carrel's proper & personal pronouns.

left image
proper nouns
left image
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, unit="sentence">.doe

not, so, lemma="which, now, then, too, w, here, more, lemma="before, up, yet, out, lemma="ever, lemma="master, as, lemma="brother, well, thus, still, never, away, very, off, much, most, there, ever, lemma="revenge, lemma="earth, first, lemma="antonio, in, lemma="spirit, only, lemma="highness, on, no, together, lemma="here, long, again, far, soon, lemma="dream, already, back, about, enough, lemma="character

left image
adjectives
left image
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.