This project will construct a large, searchable database of American popular song lyrics. Specifically, this database will contain the lyrics of the Billboard Top 100 songs of the year, for each of the years 1960 to present, (i.e., the lyrics to 5,600 songs, almost 300 hours worth of music). This will represent a lyrical corpus larger than any other by an order of magnitude. A stripped-down version of the database will be Ngrammed in line with Google\u27s Ngram Viewer for books (https://books.google.com/ngrams). This will create a web-based tool for anyone to visualize and measure lyrical word use over time. It will also avoid copyright issues that would arise from publishing the full lyrics online. The full database will also be availabl...
Abstract. This is a manual to help the users to use the database of 1000 songs for emotional analysi...
Song lyrics can be considered as a text genre that has features of both written and spoken discourse...
To examine changes in the diversity of popular songs over time, I have analyzed the lyrics of 99% of...
This project will construct a large, searchable database of American popular song lyrics. Specifical...
Although they are an integral part of everyday life, song lyrics are not included in any of the stan...
This paper presents a lyrics retrieval system called Lyric-sRadar that enables users to interactivel...
In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at ...
We report experiments on the use of standard natural language processing (NLP) tools for the analysi...
Recently, music complexity has drawn attention from researchers in the Music Information Retrieval (...
Retrieving the lyrics of a sung recording from a database of text documents is a research topic that...
We explore a dataset of almost half a million English song lyrics through three different processes ...
This thesis explores the classification of emotions in song lyrics, using automatic approaches appli...
The number of songs are increasing at a very high rate around the globe. Out of the songs released e...
Abstract This paper analyzes 237 questions posted to Yahoo! Answers, a popular community-driven ques...
International audienceWe present the WASABI 1 Song Corpus, a large corpus of songs enriched with met...
Abstract. This is a manual to help the users to use the database of 1000 songs for emotional analysi...
Song lyrics can be considered as a text genre that has features of both written and spoken discourse...
To examine changes in the diversity of popular songs over time, I have analyzed the lyrics of 99% of...
This project will construct a large, searchable database of American popular song lyrics. Specifical...
Although they are an integral part of everyday life, song lyrics are not included in any of the stan...
This paper presents a lyrics retrieval system called Lyric-sRadar that enables users to interactivel...
In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at ...
We report experiments on the use of standard natural language processing (NLP) tools for the analysi...
Recently, music complexity has drawn attention from researchers in the Music Information Retrieval (...
Retrieving the lyrics of a sung recording from a database of text documents is a research topic that...
We explore a dataset of almost half a million English song lyrics through three different processes ...
This thesis explores the classification of emotions in song lyrics, using automatic approaches appli...
The number of songs are increasing at a very high rate around the globe. Out of the songs released e...
Abstract This paper analyzes 237 questions posted to Yahoo! Answers, a popular community-driven ques...
International audienceWe present the WASABI 1 Song Corpus, a large corpus of songs enriched with met...
Abstract. This is a manual to help the users to use the database of 1000 songs for emotional analysi...
Song lyrics can be considered as a text genre that has features of both written and spoken discourse...
To examine changes in the diversity of popular songs over time, I have analyzed the lyrics of 99% of...