we are currently looking into the subject sentiment analysis and I already read this post https://support.prodi.gy/t/best-practice-for-aspect-level-sentiment-analysis/856, which was helpful for the beginning. But I still have some questions concerning the workflow with prodigy for sentiment analysis:
How can I possibly handle the following sentence with prodigy’s text classification?
- The team is friendly, the doctor is competent and I never have to wait longer than 10 minutes.
With my target topics/aspects: friendliness, competence and waiting time.
textcat.teach, prodigy shows me a sentence with randomly one of the three mentioned aspect categories, which I would have to reject most of the time because there is actually another category present than the one proposed (or none at all).
So first: Is there a possibility that I get a sentence and then choose one of my categories myself and then accept the sentence?
Second: Can I annotate a single text snippet shown by prodigy with multiple aspects, e.g. here friendliness, competence and waiting time?
Also: Is it possible to annotate a sentence with aspect and sentiment in one go, e.g. friendliness + positive? If so, how exactly?
Thanks in advance!