If you understand what you have read so far in this post, then you would definitely know the difference between the sentences ‘GDP rose in 2015’ and ‘GDP rose consistently from 2010 to 2015.’ So would a Natural Language Processing (NLP) programme. Some NLP programmes might even one-up us mere mortals by giving the ‘dependency parsing’, ‘parts of speech tags’, ‘named entities’ and other sentences attributes that only learned and esteemed linguistic practitioners like Noam Chomsky, George Orwell and Donald Trump would understand.
Well, NLP programmes (or at least the one we’re currently using) might be able to parse a claim like ‘GDP growth averaged 7.3% under the previous Labour administration’ (warning: fake news; please don’t take this statistic for truth) and flood you with a deluge of sentence attributes.