Sentiment or mood can express themselves on various levels in music. In
automatic analysis, the actual audio data is usually analyzed, but the lyrics
can also play a crucial role in the perception of moods. We first evaluate
various models for sentiment analysis based on lyrics and audio separately. The
corresponding approaches already show satisfactory results, but they also
exhibit weaknesses, the causes of which we examine in more detail. Furthermore,
different approaches to combining the audio and lyrics results are proposed and
evaluated. Considering both modalities generally leads to improved performance.
We investigate misclassifications and (also intentional) contradictions between
audio and lyrics sentiment more closely, and identify possible causes. Finally,
we address fundamental problems in this research area, such as high
subjectivity, lack of data, and inconsistency in emotion taxonomies.

音乐中情感或心情可以在不同层面上表达自己。我们评估了基于歌词和音频的情感分析模型，并提出了结合音频和歌词结果的不同方法。我们还研究了音频和歌词情感之间的错误分类和矛盾，并确定了可能的原因。最后，我们解决了这个研究领域的一些基本问题，如主观性高，数据缺乏以及情感分类的不一致性。