| 162 | } |
| 163 | |
| 164 | async function analyzeSyntaxOfText(text) { |
| 165 | // [START language_syntax_text] |
| 166 | // Imports the Google Cloud client library |
| 167 | const language = require('@google-cloud/language'); |
| 168 | |
| 169 | // Creates a client |
| 170 | const client = new language.LanguageServiceClient(); |
| 171 | |
| 172 | /** |
| 173 | * TODO(developer): Uncomment the following line to run this code. |
| 174 | */ |
| 175 | // const text = 'Your text to analyze, e.g. Hello, world!'; |
| 176 | |
| 177 | // Prepares a document, representing the provided text |
| 178 | const document = { |
| 179 | content: text, |
| 180 | type: 'PLAIN_TEXT', |
| 181 | }; |
| 182 | |
| 183 | // Need to specify an encodingType to receive word offsets |
| 184 | const encodingType = 'UTF8'; |
| 185 | |
| 186 | // Detects the sentiment of the document |
| 187 | const [syntax] = await client.analyzeSyntax({document, encodingType}); |
| 188 | |
| 189 | console.log('Tokens:'); |
| 190 | syntax.tokens.forEach(part => { |
| 191 | console.log(`${part.partOfSpeech.tag}: ${part.text.content}`); |
| 192 | console.log('Morphology:', part.partOfSpeech); |
| 193 | }); |
| 194 | // [END language_syntax_text] |
| 195 | } |
| 196 | |
| 197 | async function analyzeSyntaxInFile(bucketName, fileName) { |
| 198 | // [START language_syntax_gcs] |