Go beyond positive, negative, and neutral
Analyze the sentiment and emotions of any conversation
Go deeper and understand the feelings behind the posts
Learn more about the meaning and intent of every post, in any language, with industry-leading social sentiment analysis, based on years of research.
Go beyond positive, negative, and neutral. Posts are automatically categorized with the most universally expressed human emotions as by leading psychologists and anthropologists: anger, fear, disgust, joy, surprise, and sadness.
Tracking Consumer Emotions About Self-Driving Cars
It’s important for brands to understand how consumers feel about their products, and the reasons behind those emotions. Below, you can see the social discussion about driverless cars broken up by emotion.
As an automaker, it would be important to identify and understand the big spike in fear at in mid-April. A closer analysis shows that the spike in conversation volume stemmed from a viral Tumblr post questioning how autonomous cars would react in an emergency.
Insights like this can help automakers understand how the public feels about new car technology. In this case, it’s clear that car companies have work to do on convincing the public that driverless cars are safe.