Approximate phrase searching: Movie scripts and song lyrics
نویسندگان
چکیده
منابع مشابه
Artist Attribution via Song Lyrics
Song lyrics, separated from the audio signal of their song, still contain a significant amount of information. Mood and meaning can still be conveyed effectively by a pure textual representation. There has even been somewhat successful previous work on genre classification from song lyrics[7]. Building on previous work, we seek to build an artist attribution system for song lyrics. This task is...
متن کاملText Visualization of Song Lyrics
We investigate techniques for visualizing song lyrics. Specifically, we present a design to tightly align musical and linguistic features of a song in a way that preserves the readability of lyrics, while conveying how the melodic, harmonic, and metric lines of the music fit with the text. We demonstrate and evaluate our technique on two examples that have been implemented using Protovis, and p...
متن کاملMultiple Lyrics Alignment: Automatic Retrieval of Song Lyrics
We present an approach to automatically retrieve and extract lyrics of arbitrary songs from the Internet. It is intended to provide easy and convenient access to lyrics for users, as well as a basis for further research based on lyrics, e.g. semantic analysis. Due to the fact that many lyrics found on the web suffer from individual errors like typos, we make use of multiple versions from differ...
متن کاملQuantifying Lexical Novelty in Song Lyrics
Novelty is an important psychological construct that affects both perceptual and behavioral processes. Here, we propose a lexical novelty score (LNS) for a song’s lyric, based on the statistical properties of a corpus of 275,905 lyrics (available at www.smcnus.org/lyrics/). A lyric-level LNS was derived as a function of the inverse document frequencies of its unique words. An artist-level LNS w...
متن کاملSong Genre and Artist Classification via Supervised Learning from Lyrics
Motivation The amount of raw data available online has increased dramatically over the past few years; in order for us to maintain the usability of this data we must develop effective ways to efficiently and automatically organize it. For our CS 224N final project, we chose to develop a classifier that classifies songs into genres and/or artists based solely on their lyrics. We primarily focuse...
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ژورنال
عنوان ژورنال: Proceedings of the American Society for Information Science and Technology
سال: 2008
ISSN: 0044-7870
DOI: 10.1002/meet.2008.1450450271