Google Natural Language and Boost.space streamline text analysis workflows.
Google Natural Language offers powerful tools for analyzing text and extracting insights, including sentiment analysis and entity recognition. With Google Natural Language, businesses can understand customer feedback, improve content personalization, and automate data processing. The platform’s machine learning models allow for in-depth text analysis, helping businesses understand customer opinions, trends, and emotions. Whether you’re analyzing reviews, surveys, or social media content, Google Natural Language provides valuable insights into your audience’s sentiment and preferences.
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Google Natural Language Modules (6)
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Analyze Sentiment
Analyzes the sentiment of the provided text.
Analyze Entities
Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.
Analyze Syntax
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Classify a Document
Classifies a document into categories.
Analyze Entity Sentiment
Searches entities in the text and analyzes sentiment associated with each entity and its mentions.
Make an API Call
Performs an arbitrary authorized API call.
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