func main() {
file, err := ioutil.ReadFile("brownv.txt")
if err != nil {
panic(err)
}
text := string(file)
var totalTime float64 = 0.0
iterations := 5
for i := 0; i < iterations; i++ {
start := time.Now()
tokenizer, err := english.NewSentenceTokenizer(nil)
if err != nil {
panic(err)
}
tokenizer.Tokenize(text)
elapsed := time.Since(start)
totalTime += elapsed.Seconds()
fmt.Println("Sentences took: ", elapsed)
}
fmt.Println("Sentences avg took: ", totalTime/float64(iterations))
}
func main() {
if len(os.Args) < 2 {
panic("Please supply data file to test sentence tokenizer")
}
file, _ := ioutil.ReadFile(os.Args[1])
text := string(file)
expected_sentences := strings.Split(text, "\n")
tokenizer, err := english.NewSentenceTokenizer(nil)
if err != nil {
panic(err)
}
actual_sentences := tokenizer.Tokenize(text)
a_len := len(actual_sentences)
e_len := len(expected_sentences)
perc := (float64(a_len) / float64(e_len)) * 100
fmt.Printf("Actual Sentences: %d, Expected Sentences: %d, Percent: %f%%\n", a_len, e_len, perc)
}
if err != nil {
panic(err)
}
if (stat.Mode() & os.ModeCharDevice) != 0 {
return
}
reader := bufio.NewReader(os.Stdin)
text, err = ioutil.ReadAll(reader)
if err != nil {
panic(err)
}
}
tokenizer, err := english.NewSentenceTokenizer(nil)
if err != nil {
panic(err)
}
sentences := tokenizer.Tokenize(string(text))
for _, s := range sentences {
text := strings.Join(strings.Fields(s.Text), " ")
text = strings.Join([]string{text, delim}, "")
fmt.Printf("%s", text)
}
},
}
func main() {
func main() {
// get some comments
commentId := "1"
response, err := http.Get("http://local.docker:3000/comments/" + commentId + ".json?flat=true")
if err != nil {
panic(err)
}
defer response.Body.Close()
body, err := ioutil.ReadAll(response.Body)
if err != nil {
panic(err)
}
var comments = []Comment{}
json.Unmarshal([]byte(body), &comments)
// collect all the text
allText := ""
for _, v := range comments {
allText += v.Body + "\n\n"
}
allText = formatText(allText)
// get the topics for the text
payload := struct {
Text string `json:"text"`
TopicCount int `json:"topic_count"`
TopWordCount int `json:"top_word_count"`
}{
allText, 5, 5,
}
b, _ := json.Marshal(payload)
reqBody := bytes.NewBuffer(b)
response, err = http.Post("http://local.docker:4567", "text/json", reqBody)
if err != nil {
panic(err)
}
defer response.Body.Close()
body, err = ioutil.ReadAll(response.Body)
if err != nil {
panic(err)
}
var result struct {
Topics []string
Groups [][]string
}
json.Unmarshal([]byte(body), &result)
fmt.Println(result)
// extract the sentences from the text
tokenizer, err := english.NewSentenceTokenizer(nil)
if err != nil {
panic(err)
}
sentences := tokenizer.Tokenize(allText)
// scan for matching sentences
patterns := []string{
"{}=verb >nsubj {}=subj >dobj {}=obj",
"{}=obj >nsubj {}=subj >cop {}=verb",
"{}=verb >nsubj {}=subj >ccomp {}=verb2",
"{}=subj >advcl {}=verb",
"{}=verb >/nmod.*/ {}=subj >dobj {}=obj",
"{}=verb >nsubj {}=subj >/nmod.*/ {}=obj",
}
var topics []string
for _, s := range sentences {
s.Text = strings.TrimSpace(s.Text)
s.Text = strings.ToLower(s.Text)
for _, topic := range result.Topics {
if strings.Contains(s.Text, topic) {
topics = append(topics, topic)
}
}
if contains(topics, "evolution") {
fmt.Println(topics)
fmt.Println(s.Text)
for _, v := range patterns {
fmt.Println(v)
payload := struct {
Text string `json:"text"`
Pattern string `json:"pattern"`
}{
s.Text, v,
}
b, _ := json.Marshal(payload)
reqBody := bytes.NewBuffer(b)
response, err = http.Post("http://local.docker:4568", "text/json", reqBody)
if err != nil {
panic(err)
}
body, err = ioutil.ReadAll(response.Body)
if len(string(body)) < 10 {
continue
}
var out bytes.Buffer
json.Indent(&out, body, "", " ")
fmt.Println(string(out.Bytes()))
}
reader := bufio.NewReader(os.Stdin)
fmt.Print(">")
_, _ = reader.ReadString('\n')
fmt.Println("-------\n\n")
}
topics = topics[:0]
}
}
