Automated Sentiment Analysis Does not Work?

A classic analysis that points to indicators of behavior.   

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. ... 

".....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. .... "

Preprint of paper:    https://psyarxiv.com/8fpjn/