- The statistical engine does not make any special demands to hardware or environment: words are essentially used as features for a statistical text analyzer. It identifies expressed opinions in long texts: watch the explanatory video.
- In contrast, the semantic analyzer analyses grammatically correct sentences. It identifies expressed affect in short texts: watch the explanatory video
Availability of the component: Reference contact is Alexander Osherenko of University of Augsburg.
Notes: an executable of EmoText can be made available upon request.
Besides testing, the Emotional Text Analyser component is used in CALLAS Scientific Showcases:
- the eTree Augmented Reality art installation where it supports emotional characterisation of the utterance (Neutral, PositiveActive, NegativePassive).
Additional reference is in CALLAS papers, articles and presentations: