日本感性工学会論文誌
Online ISSN : 1884-5258
ISSN-L : 1884-0833

この記事には本公開記事があります。本公開記事を参照してください。
引用する場合も本公開記事を引用してください。

スタイル変換を用いたYouTube動画タイトルの生成支援システム
小池 隆斗萩原 将文
著者情報
ジャーナル フリー 早期公開

論文ID: TJSKE-D-21-00036

この記事には本公開記事があります。
詳細
抄録

The generation of attractive sentences for consumers is an important issue. In this paper, we propose a new method to generate title sentences that are more popular on YouTube, which is gaining large popularity in recent years. In the proposed method, the automatic generation of titles is regarded as a sentence style transfer task; The title sentence generated by the video creator is transformed into a more attractive one. Specifically, first, the latent variable is obtained by the back translation method. In the back translation method, it translates the original title into another language and retranslates it into Japanese. Then, style transfer is performed based on this latent variable to generate a more attractive title sentence. In addition, transfer learning is employed to address the problem of scarce training data. Subjective evaluation experiments have been conducted to show the effectiveness of the proposed method.

著者関連情報
© 2021 日本感性工学会
feedback
Top