ea1f05f001
feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy
86 lines
2.6 KiB
Plaintext
86 lines
2.6 KiB
Plaintext
name: sibe
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version: 0.1.0.0
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synopsis: Initial project template from stack
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description: Haskell Machine Learning
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homepage: https://github.com/mdibaiee/sibe
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license: GPL-3
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license-file: LICENSE
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author: Mahdi Dibaiee
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maintainer: mdibaiee@aol.com
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copyright: 2016 Mahdi Dibaiee
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category: Web, Machine Learning, Data Science
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build-type: Simple
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-- extra-source-files:
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cabal-version: >=1.10
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library
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hs-source-dirs: src
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exposed-modules: Sibe, Sibe.NaiveBayes
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build-depends: base >= 4.7 && < 5
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, hmatrix
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, random
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, deepseq
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, containers
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, split
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, regex-base
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, regex-pcre
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, text
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, stemmer
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default-language: Haskell2010
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executable sibe-exe
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hs-source-dirs: app
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main-is: Main.hs
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ghc-options: -threaded -rtsopts -with-rtsopts=-N
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build-depends: base
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, sibe
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, hmatrix
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default-language: Haskell2010
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executable example-xor
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hs-source-dirs: examples
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main-is: xor.hs
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ghc-options: -threaded -rtsopts -with-rtsopts=-N
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build-depends: base
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, sibe
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, hmatrix
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default-language: Haskell2010
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executable example-naivebayes-doc-classifier
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hs-source-dirs: examples
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main-is: naivebayes-doc-classifier.hs
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ghc-options: -threaded -rtsopts -with-rtsopts=-N
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build-depends: base
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, sibe
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, hmatrix
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, containers
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, split
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default-language: Haskell2010
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executable example-naivebayes-sentiment-analysis
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hs-source-dirs: examples
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main-is: naivebayes-sentiment-analysis.hs
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ghc-options: -threaded -rtsopts -with-rtsopts=-N
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build-depends: base
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, sibe
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, hmatrix
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, containers
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, split
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, directory
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, deepseq
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default-language: Haskell2010
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test-suite sibe-test
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type: exitcode-stdio-1.0
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hs-source-dirs: test
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main-is: Spec.hs
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build-depends: base
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, sibe
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, hmatrix
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ghc-options: -threaded -rtsopts -with-rtsopts=-N
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default-language: Haskell2010
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source-repository head
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type: git
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location: https://github.com/mdibaiee/sibe
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