Semantically-enhanced classification method for music reviews

A music and semantic technology, applied in the field of semantically enhanced music review classification, to achieve the effect of improving accuracy

Active Publication Date: 2012-10-17
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

Since a large number of music reviews are produced on the Internet every moment,

Method used

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  • Semantically-enhanced classification method for music reviews
  • Semantically-enhanced classification method for music reviews
  • Semantically-enhanced classification method for music reviews

Examples

Experimental program
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Embodiment 1

[0027] refer to figure 1 , shows a flowchart of a semantically enhanced music comment classification method of the present invention, the method specifically includes:

[0028] Step S101, collecting information phrases related to the commented music object, and using the collected information phrase set as a semantic music dictionary;

[0029] Step S102, the music evaluation is divided into five categories: album review, artist review, melody review, lyrics review and external feature review;

[0030] Step S103, for each of the five types of evaluations, analyze the preset number of evaluations, divide each evaluation into several phrases according to the principle of longest match according to the semantic music dictionary, and divide all the phrases obtained after each evaluation The composed set is denoted as D;

[0031] Step S104, copy the set D to obtain the set PR 1 , use the tf-idf model to generate a vector for each comment, and build a classifier f 1 ;

[0032] S...

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Abstract

The invention provides a semantically-enhanced classification method for music reviews, which is used for automatically classifying the music reviews. Via the method, music review contents are automatically divided into five classes, namely an album review, an artist review, a melody review, a lyric review and an external characteristic review, and automatic classification for lots of classes of unknown music reviews can be realized by only performing manual classification on a small quantity of music reviews. The method provided by the invention has the following advantages that not only are the music reviews analysed, the accuracy of the analysis is enhanced by applying music phrases related to the reviewed object, such as music metadata and lyrics; and simultaneously, via the method provided by the invention, a method for effectively combining the outputs of two classifiers is further provided, thus remarkably enhancing the accuracy of a prediction.

Description

technical field [0001] The invention relates to the technical field of text information mining, in particular to a semantically enhanced music comment classification method. Background technique [0002] A music review (abbreviated as a music review) refers to a review on a music object. The music object here can be a concert or a musical, the melody or lyrics of a piece of music, the arrangement of an entire music album, the performance of a music artist, and other people or things related to music. [0003] With the popularity and rapid development of the Internet, Internet applications such as social networks, blogs, and online multimedia systems have also developed rapidly. Powerful functions, convenient operation, and high real-time interaction are typical characteristics common to these network applications. As an important interaction carrier, comments have become one of the core functions of these applications. In music communities and music online stores, comment...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王朝坤王建民郑伟
Owner TSINGHUA UNIV
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