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Illustrated Tweet Services

L is B'S Feel On! App Emphasizes Emotions on Twitter With Comics

— May 31, 2012 — Tech
Twitter is so heavily based on text that the Feel On! app is a refreshing feature allowing people to add an emotional image to each tweet. Essentially, this Twitter Client service analyzes individual tweets in order to emphasize the message with a particular feeling. Fun and intuitive, the Feel On! app addresses the only thing that is missing from Twitter. Although it provides only basic illustrations, turning series of tweets into adorable comics, the program is a stepping stone for more advanced applications.

Developed by Japanese startup L is B, the Feel On! app utilizes the company's Social Emotion Engine (SEE) program, which is what determines the emotions and feelings in each tweet. An English version will be unveiled at the Echelon 2012 Startup Marketplace in June.
Trend Themes
1. Emotional Image Tweeting - The Feel On! app allows users to add emotional images to their tweets, creating a more engaging and expressive Twitter experience.
2. Social Emotion Analysis - L is B's Social Emotion Engine program can analyze and determine the emotions and feelings behind individual tweets, providing valuable insights for marketers and researchers.
3. Illustrated Social Media - Turning tweets into adorable comics, the Feel On! app introduces a new way to visually represent social media content, sparking creativity and engagement.
Industry Implications
1. Social Media - The Feel On! app and the Social Emotion Engine program have the potential to revolutionize how people engage with and interpret social media content.
2. Marketing and Advertising - The ability to analyze emotions and add emotional images to tweets opens up new opportunities for targeted and impactful social media marketing campaigns.
3. Technology and Communications - The development of the Feel On! app and the Social Emotion Engine program showcases the continuous advancements in technology that enhance and transform communication platforms like Twitter.
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