Fig 1.
Overall sentiment score based on the afinn lexicon for each participant interview.
Red points indicate the average value.
Fig 2.
Percentage of words with sentiment values used during each participant interview.
Words with a negative sentiment are shown in red, with positive in blue.
Fig 3.
Word cloud for all participants, with the most popular words (appear at least ten times across interviews) coloured by their sentiment value and size proportional to the number of times they are used by the participants.
Fig 4.
Word clouds for two participants with positive overall sentiment (2 and 26) compared to two participants classified as negative overall (5 and 19).
Positive words are yellow/orange with negative words shown in shades of purple. The size of the word is proportional to the number of times it is used by each participant.
Fig 5.
Total sentiment value, using the afinn sentiment score, for each question from selected participants over the course of the interview.
Fig 6.
The words that are negated, more than once, during the interviews—order by the number of occurrences and coloured by their original (un-negated) sentiment score from the afinn lexicon.
Fig 7.
Percentage of scored words for all interviews classified with different emotional sentiment.
Fig 8.
Most frequently used words across all interviews that were classed the emotional sentiment of Trust or Anticipation.
Words are coloured by their afinn sentiment score, where words with no afinn value are labelled neutral. Only words which appeared at least eight times are included.
Fig 9.
Keywords (bigrams) identified by top RAKE score across all interviews.
The top 30 keyword combinations are shown, coloured by their RAKE value.
Fig 10.
Individual words with the largest tf-idf values for selected participants.
Fig 11.
Bigrams with the largest tf-idf values for selected participants.
Fig 12.
Treemap of the individual and aggregated nodes from the content analysis of the 30 interview transcripts.