Comments (1)
We don't have a part of speech (POS) tagger to analyze sentences, so the following hacks come to mind:
- Create a stopword list ("in", "near", "with", "a", "an"...) and simply search for the remaining terms. Possibly maintain a field which has all relevant text concatenated together, so that we can find all terms in this single field.
- Use regular expressions to deconstruct common sentences and extract type, place and features. Reminders in Slack work like that.
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Related Issues (20)
- AQL: Nearby Search HOT 1
- Frontend: Search Bar HOT 1
- Frontend: Filter Component HOT 1
- AQL: Filter Search HOT 5
- Frontend: Results Component HOT 1
- AQL: Dataset Modeling HOT 7
- Backend: KOA setup
- Backend: Foxx Microservice
- Project Structure HOT 3
- Backend: Reviews Language Data Modeling HOT 1
- Frontend: Map View HOT 2
- Frontend: AQL Query Display
- Documentation: Clarify which version of ArangoDB to use HOT 6
- Analyzer geo not found after importing dump HOT 3
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- Frontend: Date functionality HOT 1
- Frontend: Guests Functionality
- Frontend: Theme & Background Hero Image HOT 3
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