README
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Sentiment Analysis Daemon (sentimentd)
High-performance sentiment analysis service
Features
- Multi-label classification
Operations
Build binary
make build
Train
Firstly you need to create the brain (classifier) for the training.
./build/sentimentd brain create skynet "The artificial neural network-based conscious group mind"
Train it with some dataset
./build/sentimentd train skynet dataset.txt
And use it for sentiment analysis
./build/sentimentd analyse skynet "Hello world!"
Apply migrations
./build/sentimentd migrate
Credits
Many thanks to kaggle for the datasets.
See Sentiment Analysis: Emotion in Text.
TODO
Calculate a time and space complexity
Documentation
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There is no documentation for this package.
Source Files
Directories
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| Path | Synopsis |
|---|---|
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pkg
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domain/entity
Each sample contains some sentences and at least one assigned class.
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Each sample contains some sentences and at least one assigned class. |
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domain/repository
This repository helps us to work with classes.
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This repository helps us to work with classes. |
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domain/service/training/result
This package contains data types for the training results representation.
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This package contains data types for the training results representation. |
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infrastructure/repository
This repository allows to save the training results
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This repository allows to save the training results |
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