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analyze.go
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analyze.go
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// Copyright 2019 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Command analyze performs sentiment, entity, entity sentiment, and syntax analysis
// on a string of text via the Cloud Natural Language API.
package main
import (
"context"
"fmt"
"log"
"os"
"strings"
"github.com/golang/protobuf/proto"
// [START imports]
language "cloud.google.com/go/language/apiv1"
"cloud.google.com/go/language/apiv1/languagepb"
// [END imports]
)
func main() {
if len(os.Args) < 2 {
usage("Missing command.")
}
// [START init]
ctx := context.Background()
client, err := language.NewClient(ctx)
if err != nil {
log.Fatal(err)
}
defer client.Close()
// [END init]
text := strings.Join(os.Args[2:], " ")
if text == "" {
usage("Missing text.")
}
switch os.Args[1] {
case "entities":
printResp(analyzeEntities(ctx, client, text))
case "sentiment":
printResp(analyzeSentiment(ctx, client, text))
case "syntax":
printResp(analyzeSyntax(ctx, client, text))
case "entitysentiment":
printResp(analyzeEntitySentiment(ctx, betaClient(), text))
case "classify":
printResp(classifyText(ctx, client, text))
default:
usage("Unknown command.")
}
}
func usage(msg string) {
fmt.Fprintln(os.Stderr, msg)
fmt.Fprintln(os.Stderr, "usage: analyze [entities|sentiment|syntax|entitysentiment|classify] <text>")
os.Exit(2)
}
// [START language_entities_text]
func analyzeEntities(ctx context.Context, client *language.Client, text string) (*languagepb.AnalyzeEntitiesResponse, error) {
return client.AnalyzeEntities(ctx, &languagepb.AnalyzeEntitiesRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_Content{
Content: text,
},
Type: languagepb.Document_PLAIN_TEXT,
},
EncodingType: languagepb.EncodingType_UTF8,
})
}
// [END language_entities_text]
// [START language_sentiment_text]
func analyzeSentiment(ctx context.Context, client *language.Client, text string) (*languagepb.AnalyzeSentimentResponse, error) {
return client.AnalyzeSentiment(ctx, &languagepb.AnalyzeSentimentRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_Content{
Content: text,
},
Type: languagepb.Document_PLAIN_TEXT,
},
})
}
// [END language_sentiment_text]
// [START language_syntax_text]
func analyzeSyntax(ctx context.Context, client *language.Client, text string) (*languagepb.AnnotateTextResponse, error) {
return client.AnnotateText(ctx, &languagepb.AnnotateTextRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_Content{
Content: text,
},
Type: languagepb.Document_PLAIN_TEXT,
},
Features: &languagepb.AnnotateTextRequest_Features{
ExtractSyntax: true,
},
EncodingType: languagepb.EncodingType_UTF8,
})
}
// [END language_syntax_text]
// [START language_classify_text]
func classifyText(ctx context.Context, client *language.Client, text string) (*languagepb.ClassifyTextResponse, error) {
return client.ClassifyText(ctx, &languagepb.ClassifyTextRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_Content{
Content: text,
},
Type: languagepb.Document_PLAIN_TEXT,
},
ClassificationModelOptions: &languagepb.ClassificationModelOptions{
ModelType: &languagepb.ClassificationModelOptions_V2Model_{
V2Model: &languagepb.ClassificationModelOptions_V2Model{
ContentCategoriesVersion: languagepb.ClassificationModelOptions_V2Model_V2,
},
},
},
})
}
// [END language_classify_text]
func printResp(v proto.Message, err error) {
if err != nil {
log.Fatal(err)
}
proto.MarshalText(os.Stdout, v)
}