AbstractsComputer Science

Processing Natural Language for the Spotify API; Bearbetning av Naturligt Spr ̊ak till Spotifys API

by Aron Strandberg

Institution: KTH Royal Institute of Technology
Year: 2016
Keywords: Natural Sciences; Computer and Information Science; Computer Science; Naturvetenskap; Data- och informationsvetenskap; Datavetenskap (datalogi); Master of Science in Engineering - Computer Science and Technology; Civilingenjörsexamen - Datateknik
Posted: 02/05/2017
Record ID: 2129661
Full text PDF: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186867


Knowing whether you can implement something complex in a simple way in your application is always of interest. A natural language interface is some- thing that could theoretically be implemented in a lot of applications but the complexity of most natural language processing algorithms is a limiting factor. The problem explored in this paper is whether a simpler algorithm that doesn’t make use of convoluted statistical models and machine learning can be good enough. We implemented two algorithms, one utilizing Spotify’s own search and one with a more accurate, o✏ine search. With the best precision we could muster being 81% at an average of 2,28 seconds per query this is not a viable solution for a complete and satisfactory user experience. Further work could push the performance into an acceptable range.