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- type: com.google.api.codegen.samplegen.v1p2.SampleConfigProto
- schema_version: 1.2.0
- samples:
- - region_tag: language_entity_sentiment_gcs
- title: Analyzing Entity Sentiment (GCS)
- description: Analyzing Entity Sentiment in text file stored in Cloud Storage
- service: google.cloud.language.v1.LanguageService
- rpc: AnalyzeEntitySentiment
- request:
- - field: document.gcs_content_uri
- value: gs://cloud-samples-data/language/entity-sentiment.txt
- comment: |
- Google Cloud Storage URI where the file content is located.
- e.g. gs://[Your Bucket]/[Path to File]
- input_parameter: gcs_content_uri
- - field: document.type
- value: PLAIN_TEXT
- comment: "Available types: PLAIN_TEXT, HTML"
- - field: document.language
- value: en
- comment: |
- Optional. If not specified, the language is automatically detected.
- For list of supported languages:
- https://cloud.google.com/natural-language/docs/languages
- - field: encoding_type
- value: UTF8
- comment: "Available values: NONE, UTF8, UTF16, UTF32"
- response:
- - comment: Loop through entitites returned from the API
- - loop:
- collection: $resp.entities
- variable: entity
- body:
- - print: ["Representative name for the entity: %s", entity.name]
- - comment: ["Get entity type, e.g. PERSON, LOCATION, ADDRESS, NUMBER, et al"]
- - print: ["Entity type: %s", entity.type]
- - comment: ["Get the salience score associated with the entity in the [0, 1.0] range"]
- - print: ["Salience score: %s", entity.salience]
- - comment: ["Get the aggregate sentiment expressed for this entity in the provided document."]
- - define: sentiment = entity.sentiment
- - print: ["Entity sentiment score: %s", sentiment.score]
- - print: ["Entity sentiment magnitude: %s", sentiment.magnitude]
- - comment:
- - |
- Loop over the metadata associated with entity. For many known entities,
- the metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid).
- Some entity types may have additional metadata, e.g. ADDRESS entities
- may have metadata for the address street_name, postal_code, et al.
- - loop:
- map: entity.metadata
- key: metadata_name
- value: metadata_value
- body:
- - print: ["%s = %s", metadata_name, metadata_value]
- - comment:
- - |
- Loop over the mentions of this entity in the input document.
- The API currently supports proper noun mentions.
- - loop:
- collection: entity.mentions
- variable: mention
- body:
- - print: ["Mention text: %s", mention.text.content]
- - comment: ["Get the mention type, e.g. PROPER for proper noun"]
- - print: ["Mention type: %s", mention.type]
- - comment:
- - |
- Get the language of the text, which will be the same as
- the language specified in the request or, if not specified,
- the automatically-detected language.
- - print: ["Language of the text: %s", $resp.language]
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