Tutorial 01 - Counts Searching: Comments

"Counts" Section:

[x] Two "Counts" section headings. I think the first one is probably not necessary
[x] Typo: "Specifically, it search" --> "Specifically, it searches"
[x] Typo: "papers where found" --> "papers were found"
[x] Explain the numbers for percent of paper overlap
[x] Typo: "Print out many" --> "Print out how many"
[x] Print out some of the variables such as dat_numbers and dat_percent for co-occurrence between two sets

"Count Object" section:

[x] May be useful to include a short note explaining when/why it might be useful to use object method over function method
[x] May look better if spacing between words in function outputs was reduced
[x] Short explanation of what "highest association" means may be useful. Could also be more intuitive if a list with more than two terms was used

"Co-occurrence data - different word lists" section:

[x] May look neater if section header was larger
[x] Explicitly state (before code) that two separate lists are being used, and co-occurrence of terms between the two lists is being checked
[x] Output template may be better if changed from "For the (term)" to "For (term)"

"Synonyms and Exclusion Words" section:

[x] Typo: "For example, a using" --> "For example, using"
[x] Weird quotations and spacing for "gene" OR "genetic" NOT "protein"
[x] Point out that exclusion words correspond to the respective search terms, i.e. that "protein" is the exclusion term for gene/genetic and "subcortical" is the exclusion term for cortex/cortical
[x] Include output for counts.terms['A'].labels
[x] In the final note, point out that using the scrape_counts function is an alternative to using the Counts object

lisc-tools / lisc