kmaher9

func learn(classifier *bayesian.Classifier) {
	classifier.Learn(businessFiles, Business)
	classifier.Learn(techFiles, Tech)
}

func enumerateClasses() {
	businessDirectory := enumerateDirectory(businessDirectoryLocation) // retrieves a list of all filenames stored in the directory.
	for _, file := range businessDirectory {
		fileContent := readFile(file) // returns the entire contents of the files as a string.
		businessFiles = append(businessFiles, fileContent)

kmaher9

func enumerateDirectory(location string) []string {
	var files []string
	listing, err := ioutil.ReadDir(location)
	if err != nil {
		panic(err)
	}
	for _, l := range listing {
		files = append(files, location+"/"+l.Name())
	}
	return files

kmaher9

package levenshtein

import (
	"unicode/utf8"
)

func computeLevenshteinValue(a, b string) int {
	f := make([]int, utf8.RuneCountInString(b)+1)

	for j := range f {