Haggressive alternatives and similar packages
Based on the "Web" category.
Alternatively, view Haggressive alternatives based on common mentions on social networks and blogs.
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swagger-petstore
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
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haskell-bitmex-rest
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. -
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servant
Main repository for the servant libraries — DSL for describing, serving, querying, mocking, documenting web applications and more! -
neuron
Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/srid/emanote) -
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tagsoup
Haskell library for parsing and extracting information from (possibly malformed) HTML/XML documents -
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keera-hails-reactive-htmldom
Keera Hails: Haskell on Rails - Reactive Programming Framework for Interactive Haskell applications -
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ghcjs-dom
Make Document Object Model (DOM) apps that run in any browser and natively using WebKitGtk -
InfluxDB - Power Real-Time Data Analytics at Scale
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README
Tweet classifier in Haskell
Idea
Tweets on Twitter may contain aggressive content. Haggressive is a supervised k-Nearest Neighbor machine learning classifier that distinguishes aggressive and non-aggressive tweets. It uses a bag-of-unigram approach for extracting features. The empirical evaluation of the approach has yielded an average accuracy of 68.57 % of k = 10. See report_haggressive.pdf for the accompanying report.
Usage
Run it with cabal and specify the directory for the dataset. The
actual main file is in src-lib/Hag.hs.