Examples of analysis

In this section we show some examples of analysis using Text Inspector.

Donald Trump’s tweets analysed in Text Inspector

Why analyse Donald Trump’s tweets?

a) because they’re there
b) because it’s fun
c) because he is (allegedly) leader of the western world so what he says is (allegedly) important.

What was the procedure for analysis?

a) We downloaded all of Donald Trump’s tweets available from the site:
http://www.trumptwitterarchive.com/

b) We cleaned up the text by removing all numbers, making sure that all sentences ended with a full stop (important for Text Inspector to count sentences correctly).

c) We did not take out all stupid remarks because we wanted some data to analyse

d) We pasted it into Text Inspector, and selected WRITING, then clicked ANALYSE

e) We then downloaded the data

With Text Inspector it was simple and efficient, of course!

What does the analysis show? Develop your vocabulary, Donald!

Overall, the level of the language in his Tweets, mainly based on his vocabulary, is at C1 on the CEFR, equivalent to an Upper Intermediate student’s writing.

He scores low on Lexical Diversity because he tends to use the same words lots and lots and lots of times (“fake news” “biased” “great”).

His Tweets show an ease of Readability because on Twitter people tend to use short sentences.

He scores very low on Propositional Density in terms of Verbs, because in Twitter it is common to pack a tweet with nouns, and have fewer verbs.

He scores reasonably highly in terms of Lexical Sophistication mainly because he uses a lot of complex vocabulary with several syllables, and words which are of lower frequency in written texts.

For example, below are some of the words of lower frequency he uses a lot, as analysed by the Corpus of Contemporary American English (COCA) tool on TextInspector.com