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Description

The Newsmatics News Index API serves as a robust Data-as-a-Service (DaaS) solution, granting structured access to an extensive database of English-language news articles. Housing over 400 million full-text articles sourced from more than 16,500 publications, the platform also provides in-depth metadata, which includes insights into publisher ownership and political bias, facilitating comprehensive media analysis and applications in data science. This API is adept at supporting sophisticated use cases like modeling market signals, performing sentiment and trend assessments, detecting misinformation, and conducting ownership-aware media evaluations. With a RESTful interface that delivers responses in JSON format, users can easily filter results based on keywords, dates, publishers, ownership details, and bias labels, ensuring both scalability and adaptability for developers. Serving a diverse audience that includes researchers, developers, and institutions, it plays a crucial role in the creation of AI models, the execution of academic studies, and the development of media analysis tools. Its versatility and depth make it an invaluable resource for anyone engaged in media research or analysis.

Description

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

JSON Yes 
TAS Insight Engine No 

Integrations

JSON No 
TAS Insight Engine Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.003 per NLU item
First 1-250,000 items
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Nesmatic

Founded

1995

Country

United States

Website

www.newsmatics.com/news-index/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-natural-language-understanding

Product Features

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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