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Google Cloud Natural Language API

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Last updated on

Ratings

G2
4.3/5
(104)
Glassdoor
3.5/5
(2)

Google Cloud Natural Language API description

Google Cloud Natural Language API uses Google's machine learning to analyze text. It helps you understand customer sentiment, extract key information from documents, and classify text into categories. This saves your team time and can be used to improve customer service and marketing.


Who is Google Cloud Natural Language API best for

The Google Cloud Natural Language API is ideal for businesses needing to analyze text data for insights. Users praise its ease of use and integration capabilities, especially with other Google Cloud services. However, some find the pricing expensive and customization options limited. It excels at sentiment analysis and entity recognition, making it valuable for customer service and marketing improvements.

  • Best fit for small, medium, and enterprise businesses.

  • Suitable for various industries needing text analysis.


Google Cloud Natural Language API features

Supported

Sentiment analysis is supported through the analyzeSentiment method.

Supported

Google Cloud Natural Language API automates data analysis, including text analysis, sentiment analysis, and pattern identification.

Supported

Yes, it identifies entities like people, locations, organizations, and dates.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Strongly negative
-0.7

Customer Service

Rather positive
+0.5

Ease of Use

Strongly positive
+0.97

Reliability and Performance

Rather positive
+0.56

Ease of Implementation

Strongly positive
+0.78

Scalability

Rather positive
+0.33

Google Cloud Natural Language API reviews

We've summarised 101 Google Cloud Natural Language API reviews (Google Cloud Natural Language API G2 reviews) and summarised the main points below.

Pros of Google Cloud Natural Language API
  • Pre-trained models provide good accuracy for sentiment analysis and entity recognition.
  • Easy to use and integrate with existing applications through REST APIs and client libraries.
  • Seamless integration with other Google Cloud services.
  • Scalable and handles large volumes of text data efficiently.
  • Multilingual support, although primarily focused on English.
Cons of Google Cloud Natural Language API
  • Pricing can be expensive, especially for high-volume usage and after the free tier.
  • Limited customization for specific use cases and model tuning.
  • Limited support for languages other than English.
  • Occasional slow performance and network latency.
  • Documentation could be improved with more real-world examples.

Google Cloud Natural Language API pricing

The commentary is based on 31 reviews from Google Cloud Natural Language API G2 reviews.

While Google Cloud Natural Language API is praised for accuracy and ease of use, some reviewers find the pricing structure, particularly after the free tier, expensive for large-scale or continuous use, especially compared to competitors. Others mention the pricing as "fine" due to various cost-saving options.

Users sentiment

Strongly negative
-0.7

See the Google Cloud Natural Language API pricing page.


Google Cloud Natural Language API alternatives

  • Logo of Amazon Comprehend
    Amazon Comprehend
    Uncovers insights from text: language, topics, sentiment.
    Read more
  • Logo of IBM Watson Natural Language Understanding
    IBM Watson Natural Language Understanding
    Uncovers hidden meanings in text, revealing insights and relationships.
    Read more
  • Logo of Conversus.AI
    Conversus.AI
    Turns social conversations into clear business insights.
    Read more
  • Logo of NetOwl TextMiner
    NetOwl TextMiner
    Finds hidden connections in text, revealing valuable insights.
    Read more
  • Logo of SAS Visual Text Analytics
    SAS Visual Text Analytics
    Uncovers hidden insights from text data using AI.
    Read more
  • Logo of Verint Text Analytics
    Verint Text Analytics
    Uncovers customer insights from text, improving experiences.
    Read more

Google Cloud Natural Language API FAQ

  • What is Google Cloud Natural Language API and what does Google Cloud Natural Language API do?

    Google Cloud Natural Language API leverages Google's machine learning to analyze text, enabling sentiment analysis, entity recognition, and text classification. This API empowers businesses to understand customer feedback, automate document processing, and extract valuable insights from text data, improving customer service and marketing efforts. It's easily integrated using REST APIs and client libraries.

  • How does Google Cloud Natural Language API integrate with other tools?

    Google Cloud Natural Language API integrates seamlessly with other Google Cloud services, facilitating data sharing and analysis within the Google Cloud ecosystem. It offers REST APIs and client libraries for easy integration with existing applications.

  • What the main competitors of Google Cloud Natural Language API?

    Top alternatives to Google Cloud Natural Language API include Amazon Comprehend, IBM Watson Studio, and Google Cloud AutoML Natural Language. Other options include SAS Viya, MATLAB (for complex calculations), and Aporia (for AI security).

  • Is Google Cloud Natural Language API legit?

    Yes, Google Cloud Natural Language API is a legitimate and safe product from Google. It offers reliable sentiment analysis, entity recognition, and text classification, but be aware of potential costs for high-volume usage.

  • How much does Google Cloud Natural Language API cost?

    Google Cloud Natural Language API pricing is based on usage. The cost varies depending on the feature and volume. Check the Google Cloud pricing page for the most current and detailed pricing information.

  • Is Google Cloud Natural Language API customer service good?

    Customer reviews on Google Cloud Natural Language API mention "excellent customer support" and "quick response". However, one user noted the technical skill of customer service agents varies. Others simply praised ease of implementation and use.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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