Just like any text analytics, the devil is in the detail.
It is worth noting right at the start that PDF format is not intended for data exchange, it actually a language that arranges graphical objects for consistent visual display. How the that data is displayed can be quite different to how it is stored in the file or when extracted.
In this case, I cannot find any one simple pattern that uniquely identifies all of the headlines (blue text in the PDF):
- most headlines are contained on one line, but some are two lines.
- most headlines have two leading newines, but so does the start of the 2nd page (which is not a headline).
- most headlines have a folliwing line of the publisher and date... except for the last headline.
- Most headlines start with alphabetic characters, but some start with quotation marks.
Using a better file format for data exchange would probably make this task easier.
Also note the question is incomplete/badly formed:
- Do you want to match the case or ignore the case?
- Do you want to match only "price" as the entire word, or also as part of a word? E.g. "prices".
- What is a "word"? Is "time-share" one or two words? Is "(JCPOA)" a word? What about "45%" ?
