The WASABI song corpus and knowledge graph for music lyrics analysis
We present the WASABI Song Corpus, a large corpus of songs enriched with metadata
extracted from music databases on the Web, and resulting from the processing of song lyrics …
extracted from music databases on the Web, and resulting from the processing of song lyrics …
Love me, love me, say (and write!) that you love me: Enriching the WASABI song corpus with lyrics annotations
We present the WASABI Song Corpus, a large corpus of songs enriched with metadata
extracted from music databases on the Web, and resulting from the processing of song lyrics …
extracted from music databases on the Web, and resulting from the processing of song lyrics …
[HTML][HTML] Incorporating structural topic modeling into short text analysis
The past few decades have seen the rapid development of topic modeling. So far, research
has been more concerned with determining the ideal number of topics or meaningful topic …
has been more concerned with determining the ideal number of topics or meaningful topic …
[PDF][PDF] Artificial Intelligence to Extract, Analyze and Generate Knowledge and Arguments from Texts to Support Informed Interaction and Decision Making
E Cabrio - 2020 - inria.hal.science
This document relates and synthesizes my research and research management experience
since I joined the EDELWEISS team led by Olivier Corby in 2011 for a postdoctoral position …
since I joined the EDELWEISS team led by Olivier Corby in 2011 for a postdoctoral position …
[PDF][PDF] Discourse Analysis of Lyric and Lyric-based Classification of Music
F Jiakun - 2016 - core.ac.uk
Lyrics play an important role in the semantics and the structure of many pieces of music.
However, while many existing lyric analysis systems consider each sentence of a given set …
However, while many existing lyric analysis systems consider each sentence of a given set …
[引用][C] How Did English Songs Evolve? Retrieving Information from Song Lyrics Via Natural Language Processing and Statistical Topic Modeling
L Zapf - 2021 - GRIN Verlag