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Questions and answers categorized in: Cloud Computing > EITC/CL/GCP Google Cloud Platform > Getting started with GCP > Text parsing and analysis with Python > Examination review

What are the functionalities offered by the Cloud Natural Language API, besides sentiment analysis?

Thursday, 03 August 2023 by EITCA Academy

The Cloud Natural Language API, offered by Google Cloud Platform, provides a wide range of functionalities for text parsing and analysis beyond sentiment analysis. These functionalities are designed to assist developers in extracting valuable insights from text data. In addition to sentiment analysis, the API offers the following key features: 1. Entity Recognition: The API

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Text parsing and analysis with Python, Examination review
Tagged under: Cloud Computing, Cloud Natural Language API, Entity Recognition, Google Cloud Platform, Sentiment Analysis, Text Analysis

What are the properties returned by the `analyze_sentiment` function in the Cloud Natural Language API?

Thursday, 03 August 2023 by EITCA Academy

The `analyze_sentiment` function in the Cloud Natural Language API is a powerful tool for text parsing and sentiment analysis. When called, this function returns a set of properties that provide valuable insights into the sentiment expressed in a given text. In this answer, we will explore these properties in detail, highlighting their significance and potential

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Text parsing and analysis with Python, Examination review
Tagged under: Cloud Computing, Cloud Natural Language API, Sentiment Analysis, Sentiment Magnitude, Sentiment Score, Text Parsing

What is the purpose of instantiating a client in the Google Cloud Client Library?

Thursday, 03 August 2023 by EITCA Academy

The purpose of instantiating a client in the Google Cloud Client Library is to establish a connection between the application and the Google Cloud services. This connection allows the application to interact with various Google Cloud services, such as storage, compute, and data analysis, using the provided client APIs. By instantiating a client, the application

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Text parsing and analysis with Python, Examination review
Tagged under: Authentication, Authorization, Client Instantiation, Cloud Computing, Google Cloud Client Library, Google Cloud Services, Python, Service Account Key File, Text Analysis, Text Parsing

How can you set up an environment variable to access the credentials from your GCP project?

Thursday, 03 August 2023 by EITCA Academy

To set up an environment variable to access the credentials from your Google Cloud Platform (GCP) project, you can follow the steps outlined below. This process involves creating a service account, generating and downloading a JSON key file, and setting the environment variable in your local development environment. 1. Create a Service Account: – Open

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Text parsing and analysis with Python, Examination review
Tagged under: Cloud Computing, Credentials, Environment Variable, GCP, Google Cloud Platform, Service Account

How can you enable the Google Natural Language API in your Google Cloud Platform (GCP) project?

Thursday, 03 August 2023 by EITCA Academy

To enable the Google Natural Language API in your Google Cloud Platform (GCP) project, you need to follow a few steps. The Google Natural Language API is a powerful tool that allows you to perform text analysis and gain insights from unstructured text data. By enabling this API, you can leverage its capabilities to extract

  • Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Text parsing and analysis with Python, Examination review
Tagged under: Cloud Computing, GCP, Google Cloud Platform, Google Natural Language API, Python, Text Analysis
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