Want to transform text to information?

A lot of valuable information is stored in unstructured text and is therefore hard to access and use. Examples are technical specifications, legal texts, news articles or social media.

What do we offer?

We help you with consulting, specialized development services and our set of analysis tools. Depending on your need we can set you on the right track or develop a full solution for you. Often our tools already go a long way to reach your goal.

Why Qualicen?

For years we have been experts in analyzing large bodies of texts. Within our Scout toolsuite we offer different types of text analyses especially for requirements and testing documents. Now we offer our text-analytics knowledge to solve your problems, as well.

Software Development

Qualicen offers you development services specifically tailored for text-analytics projects. Apart from our expert teams, we leverage our in-house tooling to deliver your text-analytics application fast and with consistently high quality.

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Tool Selection & Customization

You have a text-analytics problem and do not know how to solve it? You don’t see through the jungle of natural language processing technology? You have a hard time choosing tools and platforms? Don’t worry, we have you covered. Our experts will get you on track with state-of-the art knowledge and an overview over methods, technology and tools.

What we think:

NLP Article 3 ~ Numerous Language Pieces – Tokenization

By Dominik Spies  / 15/03/2021
Previously we started our journey into the world of Natural Language Processing by learning the basics of Regular Expressions (RegEx)...
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Into NLP 2 – Fuzzy String Matching and the Edit Distance

By Dominik Spies  / 01/03/2021
NearLy Perfect In my last article I started with a dive into the wonderfull world of Regular Expressions. We’ve seen...
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Into NLP 2 – Fuzzy String Matching and the Edit Distance

Into NLP 1 – Regular Expressions

By Dominik Spies  / 29/01/2021
Into the Fire - A no less somewhat less nonsense introduction to NLP Natural Language Processing? - What is NLP?...
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Into NLP 1 – Regular Expressions

Presenting to You: Qualicen Snapshot [in German]

By Henning Femmer  / 17/12/2020
Liebe Freund*innen und Partner*nnen von Qualicen, Langsam schaffen wir es nicht mehr uns mit allen Kontakten regelmäßig persönlich auszutauschen. Und manche/r...
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Presenting to You: Qualicen Snapshot [in German]

Introducing Pipit – The User Story Validator for Jira

By Benedikt Hauptmann  / 01/09/2020
User stories and acceptance criterias are the backbone of agile development. Everyone knows badly written user stories provide little value....
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Introducing Pipit – The User Story Validator for Jira

Our New Library for State-of-the-Art Natural Language Processing

By Sebastian Eder  / 27/07/2020
There is a plethora of NLP libraries out there. For almost every NLP task, be it from rather trivial things...
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Our New Library for State-of-the-Art Natural Language Processing

Anomaly-Detection with Transformers Machine Learning Architecture

By Maximilian Junker  / 18/05/2020
Anomaly Detection Anomaly Detection refers to the problem of finding anomalies in (usually) large datasets. Often, we are dealing with...
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Anomaly-Detection with Transformers Machine Learning Architecture

Turbocharging Textsearch with NLP

By Dominik Spies  / 05/05/2020
Searching through a piece of text doesn’t sound like a task one would need a lot of fancy NLP technology...
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Turbocharging Textsearch with NLP

The Incredible Potential of Text Analytics – The Use Cases Explained.

By Henning Femmer  / 30/03/2020
New advances in text analytics make the tech news nearly every week, most prominently IBM Watson, but also more recently...
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The Incredible Potential of Text Analytics – The Use Cases Explained.

Natural Language Processing: Timeline Extraction with Regexes and spaCy

By Maximilian Junker  / 02/03/2020
New text is generated in a mindblowing speed today. Think about news articles, social media messages, reports, e-mails etc. However,...
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Natural Language Processing: Timeline Extraction with Regexes and spaCy

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