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IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend uses machine learning to help uncover insights and relationships in unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. AutoML capabilities in Amazon Comprehend can be used to build a custom set of entities or text classification models tailored uniquely to an organization’s needs.

Key Phrase Extraction

Sentiment Analysis

Entity Recognition

Language Detection

Pll Detection

Event Detection Per Event Type

Syntax Analysis

Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

Oracle Base Database Service - Standard

Oracle Base Database Service - Enterprise

Oracle Base Database Service - High Performance

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Oracle Database

IBM Watson Natural Language Understanding

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Likelihood to Recommend

IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

IBM Watson Discovery

IBM Watson Natural Language Understanding 2021-05-26 19:46:58

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Sentiment analysis

Easy to use

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Machine Learning Tools

We are using IBM Watson Natural Language Understanding in two projects. [In] the first one, we use it to find important concepts and keywords in a paragraph and then we use this information to generate questions asking about these important concepts and keywords. In the other project, we are using IBM Watson Natural Language Understanding along with IBM Watson Assistant to rephrase and summarize what the chatbot user has said.

Easy to use and extensive APIs.
Decent accuracy.
It recognizes concepts and semantic roles.

Improve Sentiment Analysis accuracy.
Prevent having conflicting results (sad and happy, etc.).
Foreign names detection.

Easy-to-Use APIs.
Extracting important concepts.
Decent extraction accuracy.

Reduced development time.
Increased solution efficiency in understanding the user.
Increased solution scalability.

IBM Watson Natural Language Understanding

Overview

What is IBM Watson Natural Language Understanding?