Research findings send automated sentiment analysis to the trash bin
The age of social media has opened up exciting opportunities for researchers to investigate people’s emotional states on a massive scale. For example, one study found that tweets contain more positive emotional words in the morning, which was interpreted as showing that most people are in a better mood at that time of day.
The premise of this line of research is that our word choices reflect our psychological states – that if someone uses more positive or negative emotional words, this is a good indication that they are actually experiencing those emotions. But now a new study has thrown a spanner in the works, finding that – for spoken language at least – this assumption might not hold up. In their preprint posted recently on PsyArxiv, Jessie Sun and colleagues found that emotion-related words do not in fact provide a good indication of a person’s mood, although there may be other sets of words that do.