keyword-case-cord


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 2021-05-24 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader cord process, and the input was the result of a query applied to a local mirror of CORD, a data set of scholarly articles on the topic of COVID-19. The actual query was: keywords:case. The results of this query were saved in a cache and transformed into 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 338 item(s) in this carrel, and this carrel is 4,199,606 words long. Each item in your study carrel is, on average, 14,683 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.

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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, the documents have an average readability score of 51. 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.

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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 the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:

patients, cases, case, results, study, disease, may, patient, one, data, covid, time, clinical, using, treatment, also, two, group, number, performed, cells, age, years, used, diagnosis, methods, cell, associated, high, blood, analysis, surgery, infection, days, rate, reported, conclusion, i, first, risk, hospital, health, showed, however, due, significant, positive, based, control, mean

Using the three most frequent words, the three files containing all of those words the most are SIU 2015 Abstracts, Abstracts TPS, and 48th Annual Meeting of the Austrian Society of Surgery, Graz, June 7–9, 2007.

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

public health, case report, confirmed cases, mean age, novel coronavirus, bone marrow, lymph node, one patient, years old, united states, acute respiratory, risk factors, study design, lymph nodes, statistically significant, case studies, coronavirus disease, infectious diseases, author funder, granted medrxiv, two groups, copyright holder, background case, significant difference, respiratory syndrome, differential diagnosis, contact tracing, health care, incubation period, minimally invasive, breast cancer, mg dl, hospital stay, intensive care, patients underwent, one case, significantly higher, control group, two patients, social distancing, severe acute, abdominal pain, performed using, new cases, aft er, ct scan, year old, two cases, design method, made available

And the three file that use all of the three most frequent phrases are SPR 2012 19th European Congress of Pathology, Ljubljana, Slovenia, September 6-11, 2003, and 4 Communicable Diseases.

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 the carrel include:

case, covid-19, patient, sars, study, disease, result, conclusion, hospital, year, method, china, cell, group, university, treatment, india, icu, pcr, report, health, dna, introduction, infection, child, wuhan, tumor, surgery, january, day, respiratory, number, mri, medical, high, cfr, cancer, united, surgical, model, expression, diagnosis, country, clinical, surveillance, outbreak, mers, mean, material, ivig

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 the study carrel could be summed up in a single word, then that word might be patients, and Analysis of spatial mobility in subjects from a Dengue endemic urban locality in Morelos State, Mexico 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. patients - 27th International Congress of the European Association for Endoscopic Surgery (EAES) Sevilla, Spain, 12–15 June 2019
  2. cases - The Third 50 Days: A Detailed Chronological Timeline and Extensive Review of Literature Documenting the COVID-19 Pandemic From Day 100 to Day 150
  3. patients - SPR 2012

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. patients, results, cases - 27th International Congress of the European Association for Endoscopic Surgery (EAES) Sevilla, Spain, 12–15 June 2019
  2. cases, covid, case - Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example
  3. patients, cells, cell - 2019 CIS Annual Meeting: Immune Deficiency & Dysregulation North American Conference
  4. patients, children, patient - Clinical Implications of Chloroquine and Hydroxychloroquine Ototoxicity for COVID-19 Treatment: A Mini-Review
  5. blood, may, study - Hematopoietic Tumors

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?":

patients, cases, results, case, study, disease, data, patient, time, treatment, number, cells, age, years, group, diagnosis, cell, methods, blood, analysis, infection, surgery, rate, days, conclusion, risk, children, method, months, symptoms, system, tumor, population, period, findings, model, control, expression, health, studies, day, hospital, cancer, syndrome, use, type, groups, therapy, transmission, lesions

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:

using, showed, including, performed, reported, increased, followed, associated, compared, found, presented, identified, based, evaluate, confirmed, developed, occurs, requiring, considered, underwent, treated, seen, causing, made, observed, provided, reduced, detected, described, determine, assessed, revealed, given, suggested, obtained, related, taken, diagnosing, demonstrates, remains, resulting, need, lead, improved, estimate, received, affected, involving, decreasing, known

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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.

CT, COVID-19, SARS, MRI, China, •, Hospital, C, US, T, University, mg, MR, Case, Health, A, Fig, CoV-2, January, PCR, Background, B, March, M., S., der, Objective, Purpose, II, Table, Wuhan, United, India, A., Coronavirus, ICU, Study, C., April, Medical, States, May, RBC, IgE, Introduction, S, Disease, Italy, IV, Report

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?"

we, it, our, their, they, its, i, he, she, them, his, her, us, one, you, itself, your, themselves, him, my, me, ourselves, himself, ours, yourself, s, 's, mg, u, herself, em, oneself, o139, igg4, hmsh2, mutationtaster3, linc00520, hent1, y, theirs, ocid1001, o103, mine, incmynsz, il-12r1, btfe, , , ≥25, −5

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?"

clinical, high, significant, positive, surgical, different, severe, first, normal, non, acute, low, higher, primary, new, common, respiratory, old, negative, specific, small, laparoscopic, early, mean, total, available, large, lower, important, medical, renal, possible, abdominal, human, present, diagnostic, many, rare, similar, single, initial, multiple, postoperative, chronic, infectious, several, pulmonary, covid-19, effective, long

also, however, well, significantly, respectively, often, even, therefore, usually, especially, still, previously, less, prior, later, frequently, highly, statistically, approximately, first, clinically, currently, now, particularly, commonly, recently, mainly, relatively, initially, retrospectively, almost, furthermore, much, generally, least, potentially, rather, already, successfully, minimally, finally, always, far, yet, together, moreover, subsequently, alone, additionally, rapidly

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adjectives
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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.

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