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Analyzing customer feedback in e‑commerce

Posted on 2019-05-092022-02-21

Covering new trends in e-commerce, FEEDIT.CZ introduced Geneea to its readers among several other emerging solutions offering AI-based advanced text analysis that are available to the quickly growing local e-commerce sector. Read more…

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10 Machine Learning APIs You Should Know

Posted on 2019-01-312022-02-21

DZone placed Geneea’s API among the best ten machine learning APIs, next to big companies, such as Google and Amazon. See how Geneea API compares. Read more…

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Would you trust AI to recommend you a place to eat?

Posted on 2018-12-012022-02-21

IT students used our API in their projects. Find out how they discovered the best restaurants in Prague by analyzing real customer reviews, proving that data analysis can help people make good, conscious decisions. Read more…

Recombee

Machine learning for recommender systems

Posted on 2018-06-072022-02-21

Pavel Kordik, CEO of Recombee, explains how deep learning is revolutionizing the field of recommender systems, and describes Recombee’s collaboration with Geneea. Read more…

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Identifying trends in recipe ingredients using NLP

Posted on 2017-11-192022-02-21

IT students used our API in their projects. See how they analyzed the recipes section of the most visited Czech website dedicated to mothers and their babies. Finding insights about the stock market involves pretty much the same process. Read more…

Finding a needle in a haystack of text

Posted on 2017-05-172022-02-21

TLDR: Anomaly detection over text data is important. Geneea offers it as a service. In Keboola Connection, it is available as well; for now, in beta version upon request. Understanding a lot of text Our clients get a lot of written feedback from their customers – support tickets, emails, or Facebook posts. For some of…

Shakespeare data visualization

William Shakespeare’s Plays in the Hands of Text Analytics

Posted on 2016-06-302022-02-21

William Shakespeare, one of the greatest playwrights of all times, died 400 years ago, in 1616. At this occasion, we analyzed the content of three of his most popular plays solely via our text analytics software the Interpretor. Despite being written more than 400 years ago, Shakespeare’s comedies and dramas still speak to us. They…

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Analyzing the works of William Shakespeare

Posted on 2016-06-292022-02-21

To commemorate the 400th anniversary of William Shakespeare’s death, Geneea mapped three of his best-known plays for Dotyk.cz to show what AI and text analytics can do. Read more…

CZJUG Presentation

Exploring the possibilities of text analytics

Posted on 2016-06-092022-02-21

We gave a talk at Czech Java User Group on basic NLP functions, the way Geneea’s platform works, its training, testing, and the REST API options. We also included a few practical examples. Read more…

Geneea in Keboola Connection

Posted on 2016-06-082022-02-21

Our NLP platform has been integrated in Keboola Connection for more than a year. In fact, we were their first 3rd-party application. What brought us together? Well, we wanted to make things easier for our users. And, let’s be honest, for ourselves, too. We have software that can do cool things: read, understand, and interpret…

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Sentiment analysis of the Ice Hockey World Championships

Posted on 2015-11-272022-02-21

We introduced Geneea’s text analytics engine to CZ Podcast and demonstrated what it can do by performing sentiment analysis of the Hockey World Championships in Prague and by analyzing a Czech classic—The Good Soldier Švejk.

What does Geneea think of my bike commute?

Posted on 2015-11-262022-02-21

Let me show you with a late autumn day example. My commute begins at this lovely technical corner. By the way, it’s located a few dozen meters from the Barrandov film studios. 🙂 Figuring out what line to take and jump over the root, or even how much the rear wheel lock will be needed…

Analyse sentiment in Google SheetsGoogle Sheet

Quick Analysis of Sentiment in Google Sheets

Posted on 2015-10-302022-02-21

Having customer support messages, tweets or Facebook comments all in one table is helpful. There is no doubt about that. However, what’s even more useful, is the ability to search the texts quickly for emotionally tinged mentions of your company. Even though everybody prefers reading positive reactions and reviews, it’s the negative ones that help…

Hockey Sentiment Infographic

Posted on 2015-05-062022-10-27

One can use sentiment analysis for something serious, like routing angry customer emails to senior representatives, or for something fun like analyzing tweets about the 2015 Hockey World Cup. We have done both, but for the latter we have created an infographics.

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  • 5. Interpretor NLP API
  • 6. Sentiment
  • 7. Customer stories
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