Recently, researchers from the Western Kentucky University proposed a multi-modal deep learning framework that has the capability to classify genres of video games based on the cover and textual description. The researchers claimed that this research is the first-ever attempt on automatic genre classification using a deep learning approach.

Videos games have been one of the most widespread, profitable, and prominent forms of entertainment around the globe. Also, genre and its classification systems play a significant role in the development of video games.

According to the researchers, video game covers and textual descriptions are usually the very first impression to its consumers, and they often convey important information about the video games.

However, researchers often find it difficult to classify video game genres based on its cover and textual description because of various reasons like a massive number of video game genres, many of which are not concretely defined; cover designs; and textual descriptions that may vary due to many external factors such as country, culture, and other such.

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