The Discovery Wheel is a new music search engine that lets you find songs to fit how you feel. This future-forward concept was created by Girth Music, in attempt to innovate the way music search engines work. The Discovery Wheel is a brand new method of searching for and finding songs.
Girth Music classifies each song with the emotions it exudes. Users can check off up to three emotion categories, like campy, sweet and emotional blended together. The results let you experiment with and experience music in a whole new way. The app also offers an easy share option, so you can let others know how you're feeling. This feature would come in handy for those looking for ambient soundtracks for movie production.
Sentiment-Specific Search Engines
This New Music Search Engine Matches Songs with Desired Emotions
Trend Themes
1. Sentiment-specific Search Engines - The Discovery Wheel is an example of a sentiment-specific search engine that matches songs with desired emotions.
2. Innovative Music Search Engines - Girth Music's Discovery Wheel is an innovative music search engine that reinvents the way songs are found and classified based on the emotions they exude.
3. Enhanced Music Discovery Experience - The Discovery Wheel allows users to experiment and discover music in a whole new way by checking off multiple emotion categories to find songs that fit their desired mood.
Industry Implications
1. Music Streaming and Discovery - The sentiment-specific search engine trend presents disruptive innovation opportunities for the music streaming and discovery industry by providing more personalized and emotion-driven music recommendations.
2. Film and Media Production - Sentiment-specific search engines like the Discovery Wheel offer disruptive innovation opportunities for the film and media production industry by enabling easy access to ambient soundtracks that match desired emotions for movie production.
3. Emotion Analysis and Classification - The development of sentiment-specific search engines opens up disruptive innovation opportunities for the emotion analysis and classification industry, allowing for more accurate and nuanced categorization of media based on the emotions they evoke.