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About

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

About

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers seeking a solution to derive insights from unstructured text using Google machine learning

Audience

Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

New customers get up to $300 in free credits to try Google Cloud products
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • The Google Cloud Natural Language API excels in its accuracy and speed when processing large amounts of text. It's incredibly easy to integrate with existing systems, thanks to comprehensive documentation and SDKs for multiple languages. The sentiment analysis and entity recognition features are particularly strong, allowing for nuanced understanding of customer feedback, social media, and other unstructured data. Its real-time processing capabilities also make it a great choice for applications that require live data handling. Plus, it's scalable, handling everything from small projects to enterprise-level workloads effortlessly.

Cons

  • While the API is feature-rich, the cost can add up quickly for large-scale operations, especially for companies dealing with massive data. Additionally, while the pre-built models work well for general tasks, they might not perform as accurately in niche industries or specialized use cases without further customization. The dashboard interface is a bit basic, and additional analytics tools could enhance the user experience.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Google
Founded: 1998
United States
cloud.google.com/natural-language

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/

Alternatives

Semantria

Semantria

Lexalytics

Alternatives

Kraken

Kraken

Big Squid

Categories

Categories

Data Science Supported
Machine Learning Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Supported
Visualization Supported

Data Extraction Features

Disparate Data Collection Supported
Document Extraction Supported
Email Address Extraction Supported
Image Extraction Supported
IP Address Extraction Supported
Phone Number Extraction Supported
Pricing Extraction Supported
Web Data Extraction Supported

Natural Language Generation Features

Business Intelligence Supported
Chatbot Supported
CRM Data Analysis and Reports Supported
Email Marketing Supported
Financial Reporting Supported
Multiple Language Support Supported
SEO Supported
Web Content Supported

Natural Language Processing Features

Co-Reference Resolution Supported
In-Database Text Analytics Supported
Named Entity Recognition Supported
Natural Language Generation (NLG) Supported
Open Source Integrations Supported
Parsing Supported
Part-of-Speech Tagging Supported
Sentence Segmentation Supported
Stemming/Lemmatization Supported
Tokenization Supported

Qualitative Data Analysis Features

Annotations Not Supported
Collaboration Not Supported
Data Visualization Not Supported
Media Analytics Not Supported
Mixed Methods Research Not Supported
Multi-Language Supported
Qualitative Comparative Analysis Not Supported
Quantitative Content Analysis Not Supported
Sentiment Analysis Supported
Statistical Analysis Not Supported
Text Analytics Supported
User Research Analysis Not Supported

Text Mining Features

Boolean Queries Supported
Document Filtering Supported
Graphical Data Presentation Supported
Language Detection Supported
Predictive Modeling Supported
Sentiment Analysis Supported
Summarization Supported
Tagging Supported
Taxonomy Classification Supported
Text Analysis Supported
Topic Clustering Supported

Integrations

Apache Hive Not Supported
Apache Spark Not Supported
Gemini Supported
Gemini 1.5 Flash Supported
Gemini 1.5 Pro Supported
Gemini 2.0 Flash Supported
Gemini Enterprise Supported
Gemini Enterprise Agent Platform Supported
Gemini Pro Supported
Google Cloud AutoML Supported
Google Cloud Platform Supported
Google Cloud Speech-to-Text Supported
Google Cloud Vision AI Supported
Impala Not Supported
Kinetica Not Supported
MySQL Not Supported
Oracle Cloud Infrastructure Not Supported
Unremot Supported
n8n Supported

Integrations

Apache Hive Supported
Apache Spark Supported
Gemini Not Supported
Gemini 1.5 Flash Not Supported
Gemini 1.5 Pro Not Supported
Gemini 2.0 Flash Not Supported
Gemini Enterprise Not Supported
Gemini Enterprise Agent Platform Not Supported
Gemini Pro Not Supported
Google Cloud AutoML Not Supported
Google Cloud Platform Not Supported
Google Cloud Speech-to-Text Not Supported
Google Cloud Vision AI Not Supported
Impala Supported
Kinetica Supported
MySQL Supported
Oracle Cloud Infrastructure Supported
Unremot Not Supported
n8n Not Supported
Claim Google Cloud Natural Language API and update features and information
Claim Google Cloud Natural Language API and update features and information
Claim Oracle Machine Learning and update features and information
Claim Oracle Machine Learning and update features and information