• English Language & Literature Teaching
• /
• v.8 no.2
• /
• pp.23-38
• /
• 2003

Seamus Heaney, a famous Irish poet after Yeats, has written some pastoral lyrics from his experiences of farm life and childhood memories. These poems, in spite of his simple overt praise of a rustic farm life, have layers of meaning with their vast allusiveness and implications. He is an extremely literary writer dealing with history from the Celtic myth and a long English literary history. Though his style reminds that of a Victorian poet through his allusions of nature, he is a modern poet of innovative skills and senses. The explication of his representative sonnet sequence, the "Glanmore Sonnets" will reveal exquisite, complicated poetics of a modern poet. The poems are basically love poems, and the love is directed to his beloved wife, his lifetime companion. The poems relate the cultivation of a land to the poet's excavating language from the classics and to the images of love making. Through a careful reading of the sonnets this article will broaden our knowledge on how a modern love lyric of layered meanings can retain the past tradition in its complicated poetics.

• The Research Journal of the Costume Culture
• /
• v.11 no.6
• /
• pp.879-888
• /
• 2003

Song is a significant message with organic combination of relics and melody. As such, songs could be an important way to deliver messages in the relics and melodies. Among the several kinds of songs ‘popular song’ is the most common and has the strongest effect on the public. On this purpose, total 700 songs published from 1995 to 2001 popular songs have been researched after extracting 100 songs chronologically in regards of broadcasting times, popularity rankings and records of yearly awards during its production year. These selected popular songs have been collected and studied before sampling the expression of the costume included in the relics. Clothes, hair styling, make-up, shoes & purses, accessaries and body figure, etc. are covered In this study. As the recent symbolism embedded in the relics of popular songs is closely related with our generation background, public preference & dislike and the change of modem costume, it shows the symbolism of costumes evidently again.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.471-474
• /
• 2022

음원 스트리밍 서비스 시장은 지속해서 성장해왔다. 그중 최근에 가장 성장세가 돋보이는 서비스는 Spotify와 Youtube music이다. 두 서비스의 추천시스템은 사용자가 좋아할 만한 음악을 계속해서 추천해 줌으로써 많은 사랑을 받고 있다. 추천시스템 성능은 추천에 활용할 수 있는 변수(Feature) 수에 비례한다고 볼 수 있다. 최대한 많은 정보를 알아야 사용자가 원하는 추천이 가능하기 때문이다. 본 논문에서는 기존에 존재하는 감정분류 방법론인 사전기반과 딥러닝 BERT를 사용한 머신기반 방법론을 적절하게 결합하여 장점을 유지하면서 단점을 보완한 하이브리드 감정 분석 모델을 제안함으로써 가사에서 느껴지는 감정 비율을 분석한다. 감정 비율을 음원 가중치 변수로 사용하면 감정 정보를 포함한 고도화된 추천을 기대할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.351-352
• /
• 2023

본 논문은 과거 한국 가요(K 팝)의 가사를 수집하여 (1) 특정 키워드와 관련된 기존 가사를 검색하거나, (2) 작사가가 작성한 새로운 가사와 유사한 기존 가사를 검색하거나, (3) 특정 키워드와 관련된 가사 속 어휘를 제안하는 작사 지원 시스템을 제안한다. 지금까지의 음악 관련 시스템은 음악을 소비하는 사람들을 위한 음악 추천 시스템에 집중해 왔으나, 이 연구에서는 음악을 생산하는 작사가에게 초점을 맞춰 이들을 돕는 작사 지원 시스템을 제안하고자 한다. 제안 시스템은 TF-IDF 와 word2vec 을 활용하여 가사와 단어 벡터 공간에 가사와 어휘를 배치하고 코사인 유사도를 계산한다.

• KIISE Transactions on Computing Practices
• /
• v.22 no.10
• /
• pp.479-487
• /
• 2016

People can listen to almost every type of music by music streaming services without possessing music. Ironically it is difficult to choose what to listen to. A music recommendation system helps people in making a choice. However, existing recommendation systems have high computation complexity and do not consider context information. Emotion is one of the most important context information of music. Lyrics can be easily computed with various language processing techniques and can even be used to extract emotion of music from itself. We suggest a music-level similarity evaluation method using emotion and structure. Our result shows that it is important to consider semantic information when we evaluate similarity of music.

• Journal of Digital Convergence
• /
• v.11 no.3
• /
• pp.95-100
• /
• 2013

K-POP is getting population at the all over the world. K-POP is based on the hook song that made using repetitive lyrics and melody. The characteristics of the music is a bit simple and cheerful rhythm and melody easy to sing along, interesting lyrics and great dance skills. K-POP is spreading to various countries via various social networking services such as YouTube, Facebook, Twitter. K-POP dominated by the digital music market, showed a growing tendency to shorten the length of music, to create a music that can give a strong impression. And 60 second pre-listening function increased music used the chorus in the first part. But it was generated the result that made obscures the configuration of the music and the meaning of the lyrics. In this paper, we study the characteristics of K-POP music and will present three directions of the hook song music production. Finally, we compared to Kangnamstyle of Psy using the proposed three standards.

• Proceedings of the Korea Contents Association Conference
• /
• 2014.11a
• /
• pp.149-150
• /
• 2014

• Proceedings of the Korea Contents Association Conference
• /
• 2014.11a
• /
• pp.97-98
• /
• 2014

본 연구에서는 어두운 감성음악 200곡을 선정하고 감정단어와 감정군집 중심의 텍스트 가사분석을 통해 어두운 감성음악의 내러티브와의 관계를 연구한다.

• Proceedings of the Korea Contents Association Conference
• /
• 2019.05a
• /
• pp.57-58
• /
• 2019

SF&액션 장르 애니메이션 주제가 가사를 메시지의 유형에 따라 분류하고 Song form 별 가사의 역할과 내포된 활동성 표현 포함 비율의 서열을 생성했다. 3가지 세부 장르의 주제, 소재, 캐릭터 유형, 주제가의 유의미한 상관성을 도출하고 장르의 영향력 안에서 자유로울 수 없는 주제가의 제한적 창작형태를 확인하였다.

• 한국HCI학회:학술대회논문집
• /
• 2007.02a
• /
• pp.268-273
• /
• 2007

In this paper, we present effective methods for automatic music recommendation system which automatically recommend music by signal processing technology. Conventional music recommendation system use users’ music downloading pattern, but the method does not consider acoustic characteristics of music. Sometimes, similarities between music are used to find similar music for recommendation in some method. However, the feature used for calculating similarities is not highly related to music characteristics at the system. Thus, our proposed method use high-level music characteristics such as rhythm pattern, timbre characteristics, and the lyrics. In addition, our proposed method store features of music, which individuals queried, to recommend music based on individual taste. Experiments show the proposed method find similar music more effectively than a conventional method. The experimental results also show that the proposed method could be used for real-time application since the processing time for calculating similarities between music, and recommending music are fast enough to be applicable for commercial purpose.