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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
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Opinion Algorithm Summarizes Social Media Sentiments

Opinion Algorithm Summarizes Social Media Sentiments

Good mood and bad mood concept with blocks and smiles in a hands

The technique offers a new approach to opinion-mining, which usually requires a team of dedicated surveyors and participants.

Written By

Apr 3, 2020

Understanding public opinion is a requirement for almost all organizations in the internet age, as campaigns, adverts, and products are launched to fit with current trends.

To meet this demand, a team of researchers at Hansung University in South Korea have developed an algorithm capable of summarizing online sentiments.

SEE ALSO: Machine Learning Algorithms Help Couples Conceive

Published in the International Journal of Computational Vision and Robotics, the algorithm works by identifying and extracting representative posts, articles, and stories from a large swarth of content on a singular topic.

It is able to identify clearly the most important content, through activity and other metrics, and build a summarization from that central point. This could be a new approach to opinion-mining, which usually requires a team of dedicated surveyors and participants.

In the paper, Professor Jae-Young Chang provides proof of the algorithm’s capability, testing sentiment on popular movie reviews. By identifying the most important information online, the algorithm was able to come up with an accurate summary of online sentiment towards a movie.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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