extract nouns from a txt file (english)

noun-extraction.go

package main
import (
	"fmt"
	"os"
	"github.com/mvryan/fasttag"
	// "github.com/neurosnap/sentences"
	// "github.com/neurosnap/sentences/data"
	// "sort"
	"io/ioutil"
	// "math"
	"strings"
	"flag"
)
func main() {
	// files, err := string, error.Error
	// files, err := GetFilesFromDir("/data/data/com.termux/files/home/storage/external-1/go/src/legacy/pressure679/GhostWriter/txts")
	file := flag.String("file", "", "file with or without path variable.")
	flag.Parse()
	osFile, err := os.Open(*file)
	if err != nil { panic(err) }
	defer osFile.Close()
	// file := ""
	bytes, err := ioutil.ReadFile(osFile.Name())

	// In case you get a text with non-sentence text then use this as a filter extractor to  get texts exclusively.
	// var buffer []*string
	//  if err != nil { panic(err) }
	//  dataAsset, err := data.Asset("data/english.json")
	//  if err != nil { panic(err) }
	//  trainingData, err := sentences.LoadTraining(dataAsset)
	//  if err != nil { panic(err) }
	//  sentenceTokenizer := sentences.NewSentenceTokenizer(trainingData)


	words := fasttag.WordsToSlice(string(bytes))
	posTags := fasttag.BrillTagger(words)
	for n, _ := range words {
		if strings.EqualFold(string(posTags[n][0]), "N") {
			fmt.Println(words[n])
		}
	}
}