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 1,943 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 13,103,344 words long. [0] Each item in your study carrel is, on average, 7,183 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

Readability

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 56. [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]

information, http, internet, social, number, new, one, accessed, org, web, media, use, online, doi, volume, also, pp, research, may, will, data, users, first, www, digital, university, content, technology, people, public, time, access, open, many, work, com, journal, communication, search, world, article, user, used, al, software, et, community, study, different, well

Using the three most frequent words, the three files containing all of those words the most are ./txt/firstmonday-org-999.txt, ./txt/firstmonday-org-9998.txt, and ./txt/firstmonday-org-9997.txt.

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

et al, first monday, social media, new york, open source, web site, web sites, login required, united states, university press, accessed october, accessed march, accessed may, article view, accessed november, accessed july, accessed august, new media, accessed june, accessed january, accessed april, accessed february, accessed september, accessed december, university library, full text, intellectual property, journal systems, journal content, open journal, systems journal, font size, index terms, issue article, great cities, current issue, username password, cities initiative, chicago university, monday open, search search, help user, journal help, size current, authors title, article indexing, current archives, indexing metadata, article tools, search current

And the three file that use all of the three most frequent phrases are ./txt/firstmonday-org-999.txt ./txt/firstmonday-org-9998.txt, and ./txt/firstmonday-org-9997.txt.

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

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unigrams
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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 your study carrel include:

news, users, accessed, internet, online, new, media, web, socially, data, social, technological, researchers, information, contents, informed, researcher, software, https, student, communications, volume, politics, journals, technologically, articles, people, facebook, cultures, technologies, digitally, libraries, site, inform, informal, politically, www, communities, percent, digital, laws, likely, library, service, communicate, communicating, community, informational, networking, press

And now word clouds really begin to shine:

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keywords

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 Book Reviews 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. new - Linux: A bazaar at the edge of chaos (originally published in Volume 5, Number 3, March 2000)
  2. social - Disinformation and social bot operations in the run up to the 2017 French presidential election
  3. internet - e-Government, e-Society and Jordan: Strategy, theory, practice, and assessment

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. information, data, http - A Metadata Approach to Preservation of Digital Resources: The University of North Texas Libraries'' Experience
  2. social, doi, accessed - Disinformation and social bot operations in the run up to the 2017 French presidential election
  3. software, open, new - Linux: A bazaar at the edge of chaos
  4. internet, media, online - The use of the Internet for political action by non-state dissident actors in the Middle East (originally published in November 2003)
  5. students, internet, information - Landscape without bearings: Instructors'' first experiences in Web-based synchronous environments

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?":

information, internet, number, web, volume, media, data, users, research, people, time, use, content, technology, access, p., work, community, percent, software, user, sites, example, communication, study, e, network, site, world, development, system, students, way, analysis, source, paper, technologies, knowledge, article, terms, author, case, computer, services, group, systems, music, part, government, search

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, are, be, have, was, has, accessed, were, been, do, used, based, see, had, using, use, being, make, does, provide, found, made, required, become, given, did, including, take, related, find, create, need, making, include, know, get, ’s, developed, provides, created, according, help, provided, think, received, want, understand, seen, following, developing

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nouns
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verbs

Proper Nouns

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

pp, university, al, journal, et, new, first, monday, facebook, press, information, u.s., york, search, j., twitter, login, m., library, march, wikipedia, october, may, september, research, january, april, july, june, august, november, international, google, february, december, united, s., issue, science, society, |, current, communication, title, abstract, digital, linux, open, technology, world

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, its, our, you, them, he, his, my, her, us, me, she, your, themselves, itself, one, ‘, him, himself, ourselves, yourself, myself, herself, oneself, ’s, y, ''s, ours, mine, yours, theirs, em, pta, ’08, -2, out’, u, web2, hers, ye, elf, 19–24, r2, sh, 97–114, ff

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

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proper nouns
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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?"

social, other, such, new, online, digital, many, more, public, different, open, political, important, first, same, available, personal, most, own, free, particular, specific, large, possible, cultural, local, high, economic, real, virtual, human, electronic, individual, general, traditional, several, small, significant, similar, common, various, much, current, few, global, technical, mobile, able, legal, second

not, also, more, only, as, well, however, even, so, most, up, often, out, then, very, rather, just, thus, now, still, here, online, e.g., n’t, much, therefore, less, first, especially, too, already, far, particularly, together, simply, perhaps, yet, instead, on, always, further, indeed, increasingly, almost, back, actually, generally, highly, directly, never

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adjectives
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adverbs