Distant Reader - digitalPhotography-from-scholar

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 2021-04-05 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 822 item(s) in this carrel, and this carrel is 3,266,018 words long. Each item in your study carrel is, on average, 4,002 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 61. 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:

digital, http, al, image, et, com, photography, study, using, images, data, used, org, research, patients, www, doi, one, use, also, figure, based, time, may, new, results, camera, two, journal, analysis, elsevier, method, de, refhub, methods, high, clinical, information, different, color, will, system, imaging, https, treatment, photographs, patient, table, studies, model

Using the three most frequent words, the three files containing all of those words the most are A randomized trial study on the effect of amniotic membrane graft on wound healing process after anal fistulotomy, Reproducibility of the AO/ASIF and Gartland classifications for supracondylar fractures of the humerus in children, and The value of digital imaging in diabetic retinopathy.

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

et al, digital photography, sbref http, diabetic retinopathy, sref http, research feed, alert research, save alert, dopt abstract, digital images, digital camera, gov pubmed, new york, remote sensing, digital imaging, rf http, physical activity, digital cameras, digital image, image analysis, org core, org licenses, db pubmed, retrieve db, gov entrez, cmd retrieve, entrez query, list uids, food waste, pubmed dopt, abstract list, image processing, digital photographs, abstract http, rights reserved, open access, using digital, wound healing, public health, international journal, uids http, climate change, image quality, statistically significant, leaf area, data collection, creative commons, plate waste, united states, core terms

And the three file that use all of the three most frequent phrases are The use of repeat colour digital photography to monitor high Arctic tundra vegetation The value of digital imaging in diabetic retinopathy, and The between-day and inter-rater reliability of a novel wireless system to analyse lumbar spine posture.

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:

pmc, image, feed, patient, digital, figure, photography, university, journal, health, retinopathy, food, fig, camera, research, medicine, diabetic, ieee, visual, technology, skin, new, dermatol, color, photograph, photo, pdf, model, emergency, child, business, angle, wound, wales, view, treatment, surg, method, management, india, hospital, group, co2, cell, volume, rgb, picture, korea, jpeg, internet

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 digital, and Comparison of macular hole size measured by optical coherence tomography, digital photography and clinical examination 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:

image, digital, photography - Interactive digital photography at scale
patients, study, digital - In Vivo Bioluminescence Imaging To Evaluate Systemic and Topical Antibiotics against Community-Acquired Methicillin-Resistant Staphylococcus aureus-Infected Skin Wounds in Mice
http, com, elsevier - Influence of forest and shrub canopies on precipitation partitioning and isotopic signatures
10, http, doi - The clinical assessment study of the foot (CASF): study protocol for a prospective observational study of foot pain and foot osteoarthritis in the general population
pmc, 9363, 30045 - DİJİTAL FOTOĞRAFLAR VE BİLGİSAYAR ARACILIĞIYLA ÜRETİLEN GÖRÜNTÜLER BİRBİRİNDEN NE KADAR FARKLI

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?":

%, image, images, photography, study, data, patients, time, camera, analysis, results, method, use, p, research, o, figure, methods, color, photographs, information, system, treatment, table, e, number, model, �, studies, skin, area, d, t, field, values, r, food, group, a, years, size, c, work, children, quality, level, n, b, measurements, assessment

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, �, was, be, are, were, have, using, used, has, based, been, had, do, found, compared, shown, see, use, obtained, made, taken, being, reported, did, performed, given, following, provide, including, provided, measured, published, does, showed, required, included, associated, related, developed, observed, described, include, considered, make, presented, calculated, increased, take, received

Proper Nouns

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

al, et, e, j, �, m, j., m., s, d, journal, digital, n, s., c, ., research, university, a, r, b, _, t, c., de, g., r., d., p, f, o, w, y, u, a., figure, g, p., h, pp, l., vol, h., e., b., international, health, k., l, medicine

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, we, their, i, they, our, its, you, he, them, his, your, us, she, her, my, me, itself, one, him, themselves, em, �, himself, ourselves, myself, ya, oneself, http://creativecommons.org/licenses/by/2.0, de-, ’s, s, herself, ay, yourself, mine, ng, us-, yours, ie, ha, eds, ''s, 추가, 는, şi, o, avail-, au, yÞ

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?"

digital, -, other, such, different, high, new, clinical, visual, more, significant, same, available, first, many, diabetic, photographic, low, important, non, large, possible, specific, small, single, social, �, standard, lower, human, total, physical, similar, most, higher, current, medical, light, second, several, good, early, true, present, retinal, further, general, individual, able, patient

not, also, more, only, however, well, as, then, very, most, up, therefore, so, even, out, e.g., thus, often, still, respectively, significantly, just, here, rather, now, first, especially, relatively, highly, less, usually, much, particularly, directly, further, currently, together, finally, above, approximately, previously, furthermore, back, always, easily, n’t, generally, prior, typically, statistically

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.