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Gale Digital Scholar Lab Adds New Personalization and Visualization Features to Deliver Greater Research Insights

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New Tool Enhancements Offer Greater Personalization, Transparency and New Avenues for Digital Humanities Research as Colleges Increasingly Prioritize Essential Skills

MINNEAPOLIS, April 2, 2025 /PRNewswire/ — Association of College & Research Libraries (ACRL) Conference – Gale, part of Cengage Group, is enhancing Gale Digital Scholar Lab (the Lab) with seven major tool updates that expand text and data mining (TDM) research possibilities for students, faculty and librarians. Developed based on feedback from Lab users, these updates give researchers the ability to personalize their approach to TDM with more customization, expanding the possibilities of research and creating new ways of exploring primary sources.

These updates offer more ways for faculty to fit the Lab into courses and different teaching and learning scenarios.

“These enhancements offer more opportunities for faculty to fit the Lab into courses and different teaching and learning scenarios to support digital, data, and AI literacy acquisition,” said Jessica Ludwig, Director of Product Management at Gale. “Actively listening to our customers’ needs continues to drive our product development, allowing us to adeptly manage the complexities involved in implementing significant new features like these.”

Key updates include:

Sentiment by Timeframe: a new visualization for the Sentiment Analysis tool allows users to drill down and easily analyze data across different timeframes (century, decade, year, and month) within their content sets.

Mark-Up View for Parts of Speech and Sentiment Analysis Tools: this new view improves tool transparency, allowing users to see how words are identified in their documents, providing important context for results. It also facilitates movement between distant and close reading.

Parts of Speech Pie Chart: pie charts have been added as a second visualization option to the Parts of Speech tool, allowing users to see their data in different ways and useful for understanding how individual categories combine into a whole (e.g., what percentage of a work is made up of nouns).

Personalized Lexicons for Sentiment Analysis: users can now upload their own lexicons (a list of analyzed words) into the tool, tailoring the analysis to their specific material and subject expertise. This addresses the limitations of the currently used AFINN lexicon and expands research exploration of historical documents and non-English TDM, including support for accented characters.

Ngrams Start Word Lists: users can create an Ngram visualization for a list of words they are interested in, returning frequencies for only those terms within the content set.

Ngrams Over Time: provides the frequency and distribution of Ngrams in a content set over time (launching in May 2025)

Color Palettes: users can customize their visualizations for presentations and articles with greater control over their visual appearance (launching in May 2025).

For historians interested in exploring the possibilities of the digital humanities tools available in the Lab, Gale-ASECS non-residential fellow, Daniel Watkins, recommends: “The tools themselves don’t have to provide final conclusions—they can help researchers process information. For example, the Ngram analysis tool helped me determine additional stop words to add to cleaning protocols so that the topic modeling and document clustering analyses produced better results … I hadn’t considered this method for using digital humanities tools before.”

To faculty interested in sharing digital humanities research methods in an instructional environment, Gale-ASECS Non-Residential Fellow, Heather Heckman-McKenna recommends: “In teaching undergraduates, I imagine I would use proximity searches and Ngrams most frequently. Allowing students the freedom to make their own inquiries based on Ngram results could help students recognize that studying literature is far more than mere close reading. They could learn that they could approach literature with a more methodical, scientific mindset to uncover potentially brand new ways to think about texts.”

Gale Digital Scholar Lab is a cloud-based research environment designed to transform how scholars and students access and analyze Gale primary source materials—and their local collections—by offering solutions to some of the most common challenges facing researchers in the humanities and social sciences. By integrating an unmatched depth and breadth of digital primary source material with some of today’s most popular tools for digital humanities analysis and visualization, The Lab provides a new lens to explore history and empowers researchers to deepen their understanding of the world and how it is represented in the written word. It also offers extensive pedagogical support in its digital Learning Center for those who are new to or developing their TDM skills.

Gale will showcase and demo the Lab’s new updates at the ACRL Conference, April 2-5, in Minneapolis at the Gale booth #708.

For more information or to request a trial, visit the Gale Digital Scholar Lab web page.

About Cengage Group and Gale
Cengage Group, an education technology company serving millions of learners in 165 countries, advances the way students learn through quality, digital experiences. The company currently serves the K-12, higher education, professional, library, English language teaching and workforce training markets worldwide. Gale, part of Cengage Group, provides libraries with original and curated content, as well as the modern research tools and technology that are crucial in connecting libraries to learning, and learners to libraries. For more than 65 years, Gale has partnered with libraries around the world to empower the discovery of knowledge and insights – where, when and how people need it. Gale has 500 employees globally with its main operations in Farmington Hills, Michigan. For more information, please visit www.gale.com.

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Media Contact:
Kayla Siefker, Gale, part of Cengage Group
248-378-3376
kayla.siefker@cengage.com

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SOURCE Gale, part of Cengage Group

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Electrolux Group to end production in Jászberény, Hungary

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STOCKHOLM, April 22, 2026 /PRNewswire/ — Electrolux Group has decided to end production at the Jászberény, Hungary factory, which manufactures built-in and freestanding refrigeration products. Production is expected to cease by the end of 2026. A restructuring charge of approximately SEK 0.6 billion, of which SEK 0.3 billion is cash related, will be reported as a negative non-recurring item affecting operating income for Region Europe, Middle East & Africa and Asia-Pacific in the second quarter of 2026.

The decision follows a review of the company’s strategy to strengthen cost competitiveness and increase agility through production footprint optimization. This is driven by the current competitive environment, which is impacted by stagnant market demand, price pressure, and increasing constraints on cost competitiveness. The planned site closure will impact approximately 600 employees.

Electrolux Group will fully meet demand for refrigeration products by leveraging existing operations as well as working with external OEM partners. The decision does not affect the local sales and marketing activities managed by the Budapest office. 

This is information that AB Electrolux is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, on 22-04-2026 08:30 CET.

For more information:

Ann-Sofi Jönsson, Head of Investor Relations & Sustainability Reporting, +46 73 025 1005

Maria Åkerhielm, Investor Relations Manager, +46 70 796 3856

Henry Sjölin, Investor Relations Manager, +46 76 863 51 85

Electrolux Group Press Hotline, +46 8 657 65 07

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/electrolux-group/r/electrolux-group-to-end-production-in-jaszbereny–hungary,c4337676

The following files are available for download:

https://mb.cision.com/Main/1853/4337676/4051089.pdf

Press release Hungary April 22 2026 ENG final

 

View original content:https://www.prnewswire.com/news-releases/electrolux-group-to-end-production-in-jaszbereny-hungary-302749943.html

SOURCE Electrolux Group

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MediaGo and hipto Secure Another Les Cas d’Or Gold in Performance Marketing

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SAN FRANCISCO, April 22, 2026 /PRNewswire/ — Recently, MediaGo, a global intelligent advertising platform, and hipto, France’s premier lead generation specialist, won Gold in the “Content and Vertical Industries” category at the prestigious French digital marketing awards, Les Cas d’Or. Recognized for a benchmark performance marketing campaign in the health insurance sector, this award—voted on by over 40 brand marketing directors—serves as further authoritative validation of MediaGo’s technical prowess and service capabilities in the European market.

Following previous wins of Gold in the Native Advertising category and Bronze in the Banking & Insurance Acquisition category, this latest industry honor marks another significant milestone. It underscores that MediaGo’s localized native advertising capabilities, along with its ability to apply deep learning technologies in complex user acquisition scenarios across France and Europe, have earned high acclaim from both the market and industry experts, cementing its position at the forefront of the industry.

The French health insurance market is highly competitive and saturated. Local advertisers have long relied heavily on search and social media channels, resulting in persistently high CPAs and significant traffic inflation. Addressing these industry pain points, MediaGo and hipto collaborated to pioneer a new growth trajectory, establishing the open web as the third core acquisition pillar alongside search and social. By leveraging premium local news and information publishers in France, they seamlessly integrated native ads into media environments, providing the insurance sector with a scalable, replicable growth blueprint to effectively counter traffic inflation.

This award-winning campaign focused on scaling the acquisition of high-intent leads in the insurance sector. It successfully overcame three structural challenges inherent in traditional bidding models: reactive algorithms, high cold-start costs, and the difficulty of balancing scale with efficiency. This achievement further validates MediaGo’s strong operational capabilities and its innovation in native advertising within the French market.

Powered by five deep learning models and the newly upgraded SmartBid 3.0, MediaGo precisely predicts the conversion probability of each ad impression in real time. Paired with hipto’s high-frequency creative iterations (3–5 times per week), MediaGo continuously identifies high-potential audience clusters, further enhancing targeting precision. In addition, SmartBid 3.0’s unique “global learning” mechanism reduced the cold start learning cycle for new campaigns by 50%. This partnership enabled campaigns to achieve stable monetization from day one.

By utilizing SmartBid 3.0’s MaxCV mode, hipto’s campaigns achieved a dual breakthrough in both scale and efficiency. Data shows an immediate 32% uplift in monthly conversion volume and a threefold increase in lead volumes over the longer term, successfully expanding market share within a saturated vertical. Additionally, native ad CTR surpassed the industry benchmark by 53%, demonstrating the platform’s ability to precisely target high-intent users. Notably, even with a 48% increase in mobile budget allocation, CPA decreased by 2.6%, proving that volume scaling and margin preservation can coexist.

Leo Ye, Head of Partnerships at MediaGo, stated: “Winning the Les Cas d’Or Gold for Performance Marketing is a strong endorsement of MediaGo’s technical strength and localized service capabilities. We remain committed to a performance-driven, advertiser-centric approach, deepening our footprint in the French market to help advertisers break through growth bottlenecks in a saturated landscape.”

Looking ahead, MediaGo will continue to deepen its presence in Europe. With deep learning at its core, the platform aims to continuously enhance its native advertising capabilities and localized operations, delivering tangible value to global advertisers and empowering partners to achieve high-quality, sustainable business growth in complex market environments.

About MediaGo

MediaGo is a leading intelligent advertising platform. Based on deep learning algorithms, MediaGo empowers businesses of all scales, creating tangible value for companies. With 12 operational centers worldwide, MediaGo has successfully provided localized and comprehensive business growth services to over 10,000 partners.

Photo – https://mma.prnewswire.com/media/2961753/PRN.jpg

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Dandelion Civilization launches a Human Intelligence Platform to make talent risk visible before it becomes expensive

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New Human Intelligence Platform helps employers assess role fit, team dynamics, and early behavioral risk to avoid costly talent decisions.

AMSTERDAM, April 22, 2026 /PRNewswire/ — Dandelion Civilization today announced the launch of its Human Intelligence Platform at HR Tech Europe 2026, introducing a new approach to talent management and workforce decision-making, built around behavioral intelligence rather than instinct alone.

The launch addresses a problem many organizations already understand but still struggle to solve. Talent mis-matches are expensive, early misalignment is difficult to correct, and quality of hire remains hard to improve because the real consequences often appear months after a decision is made. Industry estimates frequently place the total cost of hiring a new employee at several times the position’s salary, especially when poor fit leads to replacement, lost productivity, and disruption.

While much of the HR technology market has focused on the hiring stage itself, Dandelion Civilization is taking a different route. The platform is designed to help employers understand how people are likely to perform in real conditions by revealing how they think, act, and interact across hiring, team development, and workforce risk.

At the core of the platform is a behavioral intelligence layer that creates continuous, evolving profiles of individuals and teams. Rather than relying only on CVs, interviews, or static questionnaires, Dandelion Civilization uses behavioral simulations to surface signals around decision making, collaboration, pressure response, and alignment. According to the company’s launch materials, the product is built around three core areas: hiring intelligence, team dynamics, and behavioral risk. It is designed to support decisions before day one, strengthen visibility into how individuals affect team performance, and identify patterns that may point to conflict, disengagement, or misalignment before those issues damage business outcomes.

“We are not creating another assessment tool,” said Dmitry Zaytsev, Founder and CEO of Dandelion Civilization. “We are building the infrastructure for better talent decisions. Companies often discover the true cost of misalignment too late, when trust weakens, performance slips, or the hiring process has to begin again. We want to make those signals visible earlier, when organizations can still act on them.”

The company says the platform is designed to fit into existing workflows without technical friction. Employers send a link, candidates complete an online simulation, and talent teams receive a decision-ready report. The launch deck states that the simulation takes around 20 to 40 minutes, requires no integration, and works in any browser.

While the platform begins with hiring, Dandelion Civilization is positioning the launch as the first step toward a broader layer of human capital intelligence that can support team design, talent development, and earlier visibility into people related risk over time.

About Dandelion Civilization
Dandelion Civilization is building a Human Intelligence Platform that helps organizations understand how people think, act, and interact across the employment lifecycle. Using behavioral simulations and digital profiling, the platform supports hiring, team development, and earlier visibility into workforce risk. Its launch materials describe the product as a system designed to reduce talent blind spots and reveal behavior beyond profiles.

 

 

 

 

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