Basic Reports

Size & Scope

First, the simple things. Your study carrel was created through the submission of a [SINGLE URL|FILE OF URLS|FILE FROM YOUR COMPUTER|ZIP FILE]. This ultimately resulted in a collection of 1,631 item(s). The original versions of these items have been saved in a cache, and each of them have been transformed & saved as a set of plain text files. All of the following analysis has been done against these plain text files.

Your study carrel is 3,725,714 words long. [0] Each item in your study carrel is, on average, 2,341 words long. [1] 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 illustrate the overall size of your study carrel.

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histogram of sizes
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box plot of sizes


On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, your documents have an average readability score of 54. [2] 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 illustrate the overall readability of your study carrel.

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histogram of readability
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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 your carrel's "aboutness". Excluding "stop words", some of the more frequent words include: [3]

web, information, http, library, uk, www, will, data, research, university, access, digital, ariadne, ac, also, use, project, services, one, new, site, libraries, resources, search, service, issue, users, work, metadata, available, content, may, user, learning, development, time, many, used, management, open, based, number, software, need, org, html, internet, using, see, support

Using the three most frequent words, the three files containing all of those words the most are ./txt/www-ariadne-ac-uk-9995.txt, ./txt/www-ariadne-ac-uk-9994.txt, and ./txt/www-ariadne-ac-uk-9993.txt.

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

web site, university library, information professionals, loughborough university, facebook twitter, web magazine, ariadne web, issue archive, access terms, privacy statement, professionals home, authors articles, linkedin ariadne, twitter google, ariadne issn, archive authors, coming issue, home coming, bibtex ris, citation bibtex, pinterest linkedin, mail pinterest, articles guidelines, uk issue, ariadne issue, author details, uk web, open access, web sites, digital library, higher education, search engines, digital preservation, publication date, originating url, issue originating, buzz data, search engine, article title, dublin core, research data, public libraries, british library, open source, web pages, top article, research citation, digital libraries, data management, information services

And the three file that use all of the three most frequent phrases are ./txt/www-ariadne-ac-uk-9995.txt ./txt/www-ariadne-ac-uk-9994.txt, and ./txt/www-ariadne-ac-uk-9993.txt.

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

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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 your study carrel include:

http, libraries, web, library, information, data, service, researchers, ariadne, projects, researcher, metadata, digital, new, user, services, users, repository, universities, https, issues, resource, inform, project, searches, informed, informal, chapter, searching, www, archival, learning, university, author, html, learn, accessible, news, conferences, student, publication, resources, content, copyright, searched, sosig, access, eevl, electronic, journal

And now word clouds really begin to shine:

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Topic Modeling

Topic modeling is another popular approach to connoting the aboutness of a corpus. If your study carrel could be summed up in a single word, then that word might be information, and DESIRE: Development of a European Service for Information on Research and Education - Ariadne is most about that word.

If your study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:

  1. information - Social Media Librarianship in Academic Libraries: Optimizing Trends for Real-Time User Engagement through Digital Billboards - Ariadne
  2. web - WebWatch: How Accessible Are Australian University Web Sites? - Ariadne
  3. data -

If your 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. library, information, libraries - Using the Web for Academic Research: The Reading Experience Database Project - Ariadne
  2. web, http, search - Tiny TV: Streaming Video on the Web - Ariadne
  3. uk, http, web - Shared Repositories, Shared Benefits: Regional and Consortial Repositories in Japan - Ariadne
  4. data, research, digital - Folksonomies in archives: controlled collaboration for specific documents - Ariadne
  5. access, try, journals - Web Watch: WebWatching eLib Project Web Sites - Ariadne

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

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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?":

web, information, data, research, library, services, site, users, resources, access, project, use, service, libraries, content, search, user, time, metadata, work, number, development, software, system, example, internet, issues, people, management, issue, way, author, staff, community, e, students, institutions, sites, database, systems, part, book, text, resource, page, projects, tools, preservation, technology, process

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:

is, be, are, was, have, has, were, been, do, used, based, using, see, being, provide, had, use, make, published, need, made, does, including, developed, working, try, provided, coming, include, find, provides, take, found, support, given, providing, learning, work, get, existing, developing, required, help, set, become, create, held, develop, making, involved

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Proper Nouns

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

university, library, ariadne, information, uk, web, access, jisc, digital, research, project, archive, e, national, loughborough, data, twitter, copyright, magazine, home, facebook, open, professionals, guidelines, citation, ©, authors, articles, mail, privacy, statement, terms, linkedin, ris, bibtex, pinterest, libraries, issue, education, google, buzz, services, science, service, london, google+, details, centre, management, learning

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, we, they, i, you, its, our, them, he, your, us, my, his, she, ‘, itself, her, me, themselves, one, him, myself, yourself, ourselves, himself, kb, herself, y, ''s,, ’s, yours, em, mine, oneself, ours, ocr, surf, bookshelf, technorati, out’, theirs, ye,,, width="320, eurocris,,

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

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proper nouns
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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?"

other, such, digital, new, available, many, more, different, electronic, first, open, important, own, public, possible, academic, useful, institutional, particular, current, technical, good, same, online, social, large, local, specific, most, able, full, key, further, several, national, much, various, subject, free, general, main, few, high, relevant, long, major, clear, top, repository, simple

not, also, more, up, well, as, only, very, however, so, out, then, now, even, rather, just, most, still, often, currently, already, together, on, back, much, here, n’t, e.g., therefore, perhaps, too, particularly, far, really, always, yet, simply, especially, n''t, increasingly, all, easily, again, further, in, recently, quite, online, down, indeed

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