Welcome!

News Feed Item

AlchemyAPI Launches First-Of-Its-Kind Deep-Learning-Based Taxonomy and Sentiment APIs, Transforming Content Into Valuable Digital Ad Inventory

AlchemyAPI, Inc., a leading provider of Artificial Intelligence cloud services, today announced the launch of the first-of-its-kind deep-learning-based Taxonomy and Sentiment Analysis APIs that allow ad networks and publishers to transform all of their content into valuable ad inventory. The company will be demonstrating the new products at booth #2119.

Deep-learning technology has made it possible for the AlchemyLanguage™ product family to offer a classifier that has both wider coverage of topics and is the first taxonomy to offer self-service custom categories. The Taxonomy API is IAB-compliant and includes an expanded taxonomy of over 1,000 topic categories with up to five levels of hierarchy. The self-service component of the API makes it possible to create categories when given any arbitrary phrase. This means that publishers and ad networks can create unique categories with no investment, giving them the power to transform underused niche content into valuable digital ad inventory.

David Mark, CEO of FlockMiner, a cutting edge productivity tool, set to be released as a beta after the Fall said, “Using AlchemyAPI's IAB Taxonomy API has an incredible accuracy that has cut our development time down and allowed our team to bridge gaps in our people suggest tool, which we would not have been able to do on our own in this phase of our development.”

Deep learning has also paved the way for other rapid breakthroughs in the AlchemyLanguage product family, including a major update to the sentiment analysis API, making it the first commercial Sentiment API based on deep-learning techniques. The updated API is more accurate when processing short, challenging texts such as poorly written tweets, mixed sentiment passages, and slang.

“Ad targeting companies have been forced to rely on categorization based on outdated technology that is inherently harder to update and almost impossible to customize,” said Elliot Turner, founder and CEO of AlchemyAPI, Inc. “Unlike competing taxonomy products, AlchemyAPI’s classifier uses deep-learning-based technology that takes advantage of three converging forces to improve the accuracy of how computers understand language: algorithmic breakthroughs, massive compute capability and large amounts of publicly available data.”

The AlchemyLanguage product family will also feature a new combined call API that makes it faster for users to analyze a single text passage with multiple text analysis features. Now it’s easy to first process a text with higher level taxonomy or concepts calls to understand its big-picture topics, and then dive in to extract details such as its named entities, keywords and sentiment.

Useful Links:

AlchemyAPI Twitter: https://twitter.com/AlchemyAPI

AlchemyAPI Facebook: https://www.facebook.com/AlchemyAPI

AlchemyAPI CEO Twitter: https://twitter.com/eturner303

Share This News:

  • @alchemapi transforms ad world via artificial intelligence, stop by booth no. 2119 for a demo #adtechSF #AI
  • @alchemyapi debuts novel deep-learning-based taxonomy & sentiment API, transforming content into valuable digital ad inventory #AI #adtechSF

Availability and Sales

Taxonomy API and all of the AlchemyLanguage™ product family are available now. For more information please email [email protected]; or call 1.877.253.0308 (US) or +1 303.242.5815 (international).

About AlchemyAPI, Inc.

AlchemyAPI is helping pioneer a computer’s ability to understand human language and vision. Our web services for real-time text analysis and computer vision give you the intelligence needed to transform vast amounts of unstructured data into actions that drive your business. AlchemyLanguage is the world's most popular natural language processing service, providing critical data analysis capability to more than 40,000 developers across 36 countries and 6 continents. Used more than 3 billion times every month, AlchemyAPI aims to democratize artificial intelligence technology, providing advanced natural language understanding capabilities to a wide variety of industries worldwide. For more information, visit our website at www.alchemyapi.com.

AlchemyLanguage is a registered trademark of AlchemyAPI, Inc. in the United States and/or other countries.

*Other names and brands may be claimed as the property of others.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
DXWorldEXPO LLC announced today that Telecom Reseller has been named "Media Sponsor" of CloudEXPO | DXWorldEXPO 2018 New York, which will take place on November 11-13, 2018 in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Evan Kirstel is an internationally recognized thought leader and social media influencer in IoT (#1 in 2017), Cloud, Data Security (2016), Health Tech (#9 in 2017), Digital Health (#6 in 2016), B2B Marketing (#5 in 2015), AI, Smart Home, Digital (2017), IIoT (#1 in 2017) and Telecom/Wireless/5G. His connections are a "Who's Who" in these technologies, He is in the top 10 most mentioned/re-tweeted by CMOs and CIOs (2016) and have been recently named 5th most influential B2B marketeer in the US. H...
In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, discussed the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docker c...
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, inside...
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
Digital transformation has increased the pace of business creating a productivity divide between the technology haves and have nots. Managing financial information on spreadsheets and piecing together insight from numerous disconnected systems is no longer an option. Rapid market changes and aggressive competition are motivating business leaders to reevaluate legacy technology investments in search of modern technologies to achieve greater agility, reduced costs and organizational efficiencies. ...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycl...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...