By mining user-generated text content we can obtain musicrelated/ninformation that could not otherwise be extracted/nfrom audio signals or symbolic score representations. In/nthis paper we propose a methodology for extracting/nmusic-related semantic information from an online/ndiscussion forum, rasikas.org, dedicated to the Carnatic/nmusic tradition. We first define a dictionary of relevant/nterms within categories such as raagas, taalas, performers,/ncomposers, and instruments, and create a complex network/nrepresentation by matching such dictionary against the forum/nposts. This network representation is used to identify/npopular terms within the forum, as well as relevant/nco-occurrences and semantic relationships. This way, for/ninstance, we are able to learn the instrument played by a/nperformer with 95% accuracy, to discover the confusion/nbetween two raagas with different naming conventions, or/nto infer semantic relationships regarding lineage or musical/ninfluence. This contribution is a first step towards the/nautomatic creation of ontologies for specific musical cultures.

This research was partly funded by the European Research/nCouncil under the European Union’s Seventh Framework/nProgram, as part of the CompMusic project (ERC/ngrant agreement 267583). Joan Serrà acknowledges AEDOC069/2010 from Consejo Superior de Investigaciones/nCientíficas, 2009-SGR-1434 from Generalitat de Catalunya,/nTIN2009-13692-C03-01 from the Spanish Government,/nand EU Feder Funds.