Northeastern and Harvard researchers have created a mood map of the United States that shows the mood of Americans throughout the day. Using Twitter as a source, a word decoding system called Affective Norms for English Words (ANEW) is applied to over 300 million tweets to decode the mood of people based on their lingo.
The mood map shows a scale of color from green to red; red represents angry or negative emotions, while green represents happy ones.
Social Media Mood Maps
Researchers Graph Twitter Emotions Throughout the United States
Trend Themes
1. Real-time Emotional Tracking - Opportunity to develop innovative tools and platforms that track and analyze emotions in real-time using social media data.
2. Sentiment Analysis - Opportunity to create advanced sentiment analysis techniques and algorithms that accurately determine the emotional tone of social media posts.
3. Emotional Mapping - Opportunity to map and visualize emotional data on a geographic scale, providing valuable insights for various industries.
Industry Implications
1. Market Research - Disruptive innovation opportunity for market research companies to incorporate real-time emotional tracking and sentiment analysis to understand consumer sentiment.
2. Social Media Analytics - Opportunity for social media analytics platforms to enhance their capabilities by including emotional mapping and sentiment analysis features.
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