Music and technology have had a long relationship. However, there is still a gap when it comes to classifying music according to musical tastes, personality aspects and emotions. Tech Acute brought this interesting news to us in their article, “Musimap: Personalizing Your Music with Emotional AI.”
A new self-learning, context-aware neuronal music network – Musimap – makes use of emotional artificial intelligence (AI) by leveraging 20 years of manual tagging efforts. It provides automated engines to achieve high performances in terms of recommendation, emotional profiling and metadata enrichment.
Increasing the opportunity for findability and discoverability increase transaction and customer satisfaction. Regardless of whether you are creating metadata for a research platform or classifying music, finding the right software to provide the capability to automate the identification, extraction and enrichment of metadata is important for success.
Data Harmony is so much more than just an editor; it’s a suite of tools to help you with your semantic search journey. The Data Harmony suite analyzes, manages and enriches content – so much more than a single-purpose tool.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
