What R package is capable of analyzing HTML strings to identify words that are formatted as bold, italic, and other styles within the text?

I am facing a challenge with my dataset that contains a column of HTML content. Each entry in this column represents a paragraph of HTML code. Here is an example:

html <- "<p id="PARA339" style="TEXT-ALIGN: left; MARGIN: 0pt; LINE-HEIGHT: 1.25"><font style="FONT-SIZE: 10pt; FONT-FAMILY: Times New Roman, Times, serif"><i>We had a net loss of $1.</i><i><b>55</b></i><i> million for the year ended December 31, 201</i><i>6</i><i> and have an accumulated deficit of $</i><i>61.5</i><i> million as of December 31, 201</i><i>6</i><i>. To achieve sustainable profitability, we must generate increased revenue.</i></font></p>"

My task is to determine the styling attributes of each HTML paragraph, such as bold, italic, underlined, etc. Some paragraphs may have a mix of different styles, like the one above (all italic with only the number 55 being bold), so I want to establish a rule - if more than 50% of the text within the HTML paragraph is emboldened, then flag it as bold.

I am unsure where to begin with this task. It would be immensely helpful to know which R package can assist me in analyzing and extracting these styling details from the HTML content. Any guidance or solution provided using that package would be greatly appreciated! Thank you.

htmlcssr

Answer №1

If you want to extract information using the rvest package, you can search for specific elements like the b tag, as demonstrated in this guide:

library(rvest)
html <- minimal_html("
  <ul>
    <li><b>C-3PO</b> is a <i>droid</i> that weighs <span class='weight'>167 kg</span></li>
    <li><b>R2-D2</b> is a <i>droid</i> that weighs <span class='weight'>96 kg</span></li>
    <li><b>Yoda</b> weighs <span class='weight'>66 kg</span></li>
    <li><b>R4-P17</b> is a <i>droid</i></li>
  </ul>
  ")

html %>% html_nodes("b")

{xml_nodeset (4)}
[1] <b>C-3PO</b>
[2] <b>R2-D2</b>
[3] <b>Yoda</b>
[4] <b>R4-P17</b>

It's worth noting that for rvest 0.3.6, you should utilize html_node. Future versions will transition to using html_element.

If you wish to apply this to a dataframe :

library(purrr)
purrr::pmap(df,~with(list(...), {raw %>% read_html %>% html_nodes('b')}))

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