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- W2512898933 abstract "Plenty of songs are composed, written, and releasedevery year being recorded in a variety of databases. Thosedo not only store the audio, but also additional data like theartists' names, the years of release, the lengths of the songs, or number of visits, comments, and remarks of visitors andthe like. However, another important data is the lyrics, i.e., thetextual content which can give insights about the topic, genre, or intention of the musicians. Getting an overview about thetextual content of a song, i.e., the lyrics can become a tediouschallenge since listening to the songs or reading the texts is a timeconsuming task. To support users of song databases we propose a visualization tool that is able to generate word clouds from lyrics. Interaction techniques are incorporated in the tool to give more detailed information about the occurrence of words in a song that finally help to find insights about the genre or to just compare the content very rapidly, for example. Our visualization tool is implemented as a web-based interface, that stores requests, updates the local tool database based on those requests, and finally, provides an interactive visualization for the user." @default.
- W2512898933 created "2016-09-16" @default.
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- W2512898933 date "2016-07-01" @default.
- W2512898933 modified "2023-09-23" @default.
- W2512898933 title "Lyrics Word Clouds" @default.
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- W2512898933 doi "https://doi.org/10.1109/iv.2016.27" @default.
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