Usuage:
go run kNN.go --file="data.txt"
关键是向量点的选择和阈值的判定
样本数据来自国家新闻出版总署发布通知公布的《40部淫秽色情网络小说名单》
package main import ( "bufio" "flag" "fmt" "io" "log" "math" "os" "path" "path/filepath") var debug bool = falsevar data_dir string = "./moyan" //文件存放目录var limen float64 = 0.1159203888322267 //阈值 const ( MIN_HANZI rune = 0x3400 MAX_HANZI rune = 0x9fbb) var labels []rune = []rune{
0x817f, 0x80f8, 0x4e73, 0x81c0, 0x5c41, 0x80a1, 0x88f8, 0x6deb,}
func errHandle(err error) {
if err != nil {
log.Fatal(err) }
}
func load(name string) (m map[rune]int, err error) {
f, err := os.Open(name) if err != nil {
return nil, err }
defer f.Close() buf := bufio.NewReader(f) m = make(map[rune]int) var r rune for {
r, _, err = buf.ReadRune() if err != nil {
if err == io.EOF {
break }
return nil, err }
if r >= MIN_HANZI && r <= MAX_HANZI {
m[r] += 1 }
}
return m, nil}
func classify(m map[rune]int) (idv []float64, dis float64) {
len_m := len(m) for i, v := range labels {
if debug {
fmt.Println(i, m[v], string(v), float64(m[v])/float64(len_m)) }
idv = append(idv, float64(m[v])/float64(len_m)) }
for _, v := range idv {
dis += math.Pow(v, 2) }
dis = math.Sqrt(dis) return}
func check(fp string, dis float64) {
switch {
case dis >= limen: fmt.Println(fp, dis, "涉黄") case dis == 1.0: fmt.Println(fp, dis, "你在作弊吗") case dis == 0: fmt.Println(fp, dis, "检查一下文件字符编码是不是utf8格式吧") default: fmt.Println(fp, dis, "正常") }
}
func walkFunc(fp string, info os.FileInfo, err error) error {
if path.Ext(fp) == ".txt" {
m, err := load(fp) errHandle(err) _, dis := classify(m) check(fp, dis) }
return err}
var file string func init() {
_, err := os.Stat(data_dir) if err != nil {
err = os.Mkdir(data_dir, os.ModePerm) errHandle(err) }
flag.StringVar(&file, "file", "", "file read in,if you don't give the file read in,"+ "it will create a data dictionary,just pust your files in it")}
func main() {
flag.Parse() if file == "" {
filepath.Walk(data_dir, walkFunc) return }
m, err := load(file) errHandle(err) _, dis := classify(m) check(file, dis) }
以上所述就是本文的全部内容了,希望大家能够喜欢。