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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servant
Main repository for the servant libraries — DSL for describing, serving, querying, mocking, documenting web applications and more! -
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. -
yesod-persistent
A RESTful Haskell web framework built on WAI. -
scotty
Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp (Official Repository) -
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. -
neuron
Future-proof note-taking and publishing based on Zettelkasten (superseded by Emanote: https://github.com/EmaApps/emanote) -
haskell-kubernetes
Haskell bindings to the Kubernetes API (via swagger-codegen) -
airship
Helium + Webmachine = Airship. A toolkit for building declarative, RESTful web apps. -
apecs-gloss
a fast, extensible, type driven Haskell ECS framework for games -
digestive-functors
A general way to consume input using applicative functors -
tagsoup
Haskell library for parsing and extracting information from (possibly malformed) HTML/XML documents -
hbro
[Unmaintained] A minimal web-browser written and configured in Haskell. -
kubernetes-client-core
Haskell client for the kubernetes API. A work in progress. -
backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell -
servant-elm
Automatically derive Elm functions to query servant webservices -
engine-io
A Haskell server implementation of the Engine.IO and Socket.IO (1.0) protocols -
keera-hails-reactive-htmldom
Keera Hails: Haskell on Rails - Reactive Programming Framework for Interactive Haskell applications -
ghcjs-dom
Make Document Object Model (DOM) apps that run in any browser and natively using WebKitGtk
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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
.