An incremental construction method of a large-scale thesaurus using co-occurrence information

Morita, Ken; Kitagawa, Hiroya; Fuketa, Masao; Aoe, Jun-ichi

doi:10.1504/ijcat.2013.056018

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Generation Of the Impression Vectors2

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2015

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Cited by 3 publications

(2 citation statements)

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“…The concept of the impression vector applied the contrivance of the word vector in the word clustering technique by using the co-occurrence information [11], [12].…”

Section: Generation Of the Impression Vectorsmentioning

confidence: 99%

A Method of Music Retrieval Using Impression Keywords

Morita¹,

Fuketa²,

Aoe³

2015

JSW

Self Cite

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“…The concept of the impression vector applied the contrivance of the word vector in the word clustering technique by using the co-occurrence information [11], [12].…”

Section: Generation Of the Impression Vectorsmentioning

confidence: 99%

A Method of Music Retrieval Using Impression Keywords

Morita¹,

Fuketa²,

Aoe³

2015

JSW

Self Cite

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“…Impression vectors are generated to all music titles and stored into the music database. The concept of the impression vector applied the contrivance of the word vector in the word clustering technique by using the co-occurrence information [11], [12].…”

Section: Generation Of the Impression Vectorsmentioning

confidence: 99%

A Method of Music Retrieval Using Impression Keywords

Morita

Fuketa²,

Aoe³

2015

JSW

Self Cite

View full text Add to dashboard Cite

Recently, making electronic data of the multimedia such as music, images, books, and so on has been spread. However, it is necessary to look for specific contents in the database with a large amount of music data because electronic data increases rapidly. Therefore, an efficient search engine is requested. This paper presents a music retrieval method focusing on the impression keywords. In the presented method, impression keywords as queries is constructed by using Twitter beforehand. The impression vector to music is generated by using this impression keyword set. And, the retrieval is processed by measuring the similarity to impression vectors with a query. From experimental results, it turns out that the recommended music displayed as a retrieval result appropriately expresses the impression of the user requests.

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