Comments (1)
Thanks for testing Graphify. I'm looking forward to hearing your use case. Currently Graphify does not support unicode but that can be resolved in later releases. I will prioritize this in the next release. One way to get around this now is to manage your own encoding as UTF-8 using information theory. For each unicode character create a dictionary of UTF-8 symbols that encode for that character.
ΓΈ = aaaa
Ξ© = aaab
Γ₯ = aaac
Ε = aaad
...
Apply these rules to your unicode symbols by replacing the character with its assigned encoding before passing to graphify. Do this for training and for classification.
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Related Issues (20)
- Dataset HOT 1
- Build Failure - Test failures HOT 7
- Training step - Meaning of Arrays HOT 7
- Build Failure in Test Stage HOT 2
- Increase Classification Accuracy HOT 2
- Training Step - Internal Server Error (500) HOT 5
- Training on large corpora is extremely slow, anyway to parallelize the pattern detector? HOT 5
- [ALERT]Starting Neo4j Server failed: org/neo4j/nlp/ext/PatternRecognitionResource : Unsupported major.minor version 52.0 HOT 3
- 1.0.0-M01 Functional Specification
- Classification time proportional to ?
- Build fails in test stage HOT 2
- Starting Neo4j Server failed HOT 4
- junit test failed - sentimentAnalysisTest HOT 1
- Multiple graphs HOT 1
- Build Failure
- Insufficient example documentation
- Empty classification array HOT 2
- Updating to 3.x HOT 4
- Neo4j server startup not running HOT 3
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