Comments (1)
This is part of the product that Luminoso (http://luminoso.com) offers, to analyze domain-specific text with ConceptNet as a starting point. Depending what you're using this for -- is this a project for a company, with a budget for machine learning? -- I could recommend signing up for Luminoso.
Otherwise, there are free NLP tools out there that you could use to segment text into words and phrases and look them up in ConceptNet.
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Related Issues (20)
- possible to continue the installation after error ?
- Does the tzw.ent.npy file use glove to initialize the entities in the concept? How is the npy file created? HOT 1
- WEB API v5.7 - Language Filter
- Internal Server Error 500 while accessing the API HOT 13
- `pytest --fulldb` five fails. HOT 6
- limiter fails HOT 6
- Does the csv have all the data that is queried from wiktionary and other sources?
- `grouped=true` queries do not return in features
- DB AssertionFInder connection() takes 0 positional arguments but 1 was given HOT 1
- ConceptNet 5.8.1 AMI root volume snapshot should be public to enable copying the AMI to other regions.
- Synonym symmetric relation
- Multiple Word Based Queries returning as No Node whilst Node(Word) being present in conceptnet.io HOT 1
- 500 Internal Server Error HOT 4
- Add link to AWS Docs to Wiki
- Internal server error: 500 HOT 4
- https://www.conceptnet.io/c/en/talbe HOT 2
- Situation -- a type of --> State (as in California, Maryland, etc.) HOT 2
- How to model non-existent relations
- concepts need definitions HOT 2
- Not a good description for this term in context.ld.json
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