Text tokenization
Sentence splitting
Morphological analysis
Suffix treatment, retokenization of clitic pronouns
Flexible multiword recognition
Contraction splitting
Probabilistic prediction of unknown word categories
Named entity detection
PoS tagging
Chart-based shallow parsing
Named entity classification (With an external library MITIE - https://github.com/mit-nlp/MITIE)
Rule-based dependency parsing

How to use it:

go build gofreeling.go

./gofreeling

(http server listens on default port 9999 - port can be changed in conf/gofreeling.toml file)

To process a page:

HTTP GET: http://localhost:9999/analyzer?url=COPY HERE AN URL

or Use as API endpoint:

HTTP POST:

http://localhost:9999/analyzer-api

{
    content: 'Text you want to analyze'
}

Response is a self-explaining json

Usage as package: (example)

package main

import (
	. "./lib"
	. "./models"
	"fmt"
	"encoding/json"
)

func main() {
	document := new(DocumentEntity)
	analyzer := NewAnalyzer()
	document.Content = "Hello World"
	output := analyzer.AnalyzeText(document)
	
	js := output.ToJSON()
	b, err := json.Marshal(js)
	if err != nil {
		panic(err)
	}

	fmt.Println(string(b))
}

TODO: