Analisi di sentiment ed entità con l'API Natural Language recensioni

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Task 2. Make an entity analysis request The first Natural Language API method you use is analyzeEntities. With this method, the API can extract entities (like people, places, and events) from text. To try it out the API's entity analysis, use the following sentence: Joanne Rowling, who writes under the pen names J. K. Rowling and Robert Galbraith, is a British novelist and screenwriter who wrote the Harry Potter fantasy series. You build your request to the Natural Language API in the file, request.json. Use nano (a code editor) to create the file request.json: nano request.json Copied! Type or paste the following code into request.json: { "document":{ "type":"PLAIN_TEXT", "content":"Joanne Rowling, who writes under the pen names J. K. Rowling and Robert Galbraith, is a British novelist and screenwriter who wrote the Harry Potter fantasy series." }, "encodingType":"UTF8" } Copied! Press CTRL+X to exit nano, then Y to save the file, then ENTER to confirm. In the request, you're telling the Natural Language API about the text being sent. Supported type values are PLAIN_TEXT or HTML. In content, you pass the text to send to the Natural Language API for analysis. The Natural Language API also supports sending files stored in Cloud Storage for text processing. If you wanted to send a file from Cloud Storage, you would replace content with gcsContentUri and give it a value of the text file's uri in Cloud Storage. encodingType tells the API which type of text encoding to use when processing our text. The API will use this to calculate where specific entities appear in our text. Click Check my progress to verify the objective. Please create a JSON file and name it as request.json. Make an Entity Analysis Request Please create a JSON file and name it as request.json. I tried so many times but getting error for everytime

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nice jobs.

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