Data annotating.

Data annotating.

Source publication
Article
Full-text available
Voice is a one of media for human communication and interaction. Emotions conveyed through voice, such as laughter or tears, can communicate messages more quickly than spoken or written language. In sentiment analysis, the emotional component is crucial for reflecting human perceptions and opinions. This paper introduces IndoWaveSentiment, a datase...

Context in source publication

Context 1
... collecting the data, the next step is to assign an emotional label to each speech sample, with each label covering a duration of 3 to 5 s. Fig. 4 shows an example of an annotated primary data sample in the Audacity application. The aim of separating continuously recorded audio data is to improve the annotation process, reducing bias in cases where emotional intonations are similar across different classes. This ensures that class labels are more reliable and not based solely on ...

Similar publications

Article
Full-text available
This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL). Sentiment analysis and emotion detection require annotated data regardless of the chosen approach, but most existing resources are for the English language. To overcome this, the SELF and FEIL lexicons use projected annotations f...