# hext
This is currently the beginning of a text classification library.

##Installation/Running
```stack install hext```
  
hackage - https://hackage.haskell.org/package/hext-0.1.0.3

To run:  
```stack build```  
```stack exec hext-exe```

##Usage
  
Currently, the only algorithm implementation is the Naive Bayes algorithm:
to run your own data through this algorithm in order to classify your text, you need:
- classified data: this can be sourced from a database where the only fields that are needed are the text itself, and it's class
- a sample string which will be classified by the algorithm

In order to run the program, the classified data specified above must be converted into a ```BayesModel a``` using the ```teach``` function, where ```a``` is your own defined data type representing the class to classify your text. Your class must be and instance of ```Ord``` and ```Eq```.

With your new ```BayesModel``` filled with knowledge, it's time to classify your text using ```runBayes```. An example of this can be seen in ```app/Main.hs``` where ```data Class = Positive | Negative deriving (Eq, Ord, Show)``` to label movie reviews as either positive or negative.

##Contributing
  
I encourage contributing to this package, in the form of implementing algorithms that are not yet in the project, improving efficiency, or the like.