Analyze Big Data with NLP

Making the right use of the potential of Big Data

There are numerous applications for NLP – Natural Language Processing – in data analysis today. Finding patterns in data and numbers, texts and images are becoming increasingly comprehensive – and faster. 

Automating the processing of large data volumes of written or spoken texts brings speed to business processes. We specialize in the automation of standard processes that deal with the analysis and processing of digital texts. 

The Advantages of NLP at a Glance

Content analysis

We analyze the potential in your data.

What you get?

Data quality reports and an initial Project Roadmap.

NLP Chatbot Development @ L-One Systems

Chatbot development

 We teach your bot what your customers really want to know.

What you get?

A bot that knows your goals and reliably implements them.

NLP-Document_Generation

Document Generation

We summarize your texts at the push of a button.

What you get?

More time to pursue challenging tasks.

NLP-Supported Processes Create Added Business Value

Increasingly, NLP solutions automate operational processes ranging from simple things like answering a question to complex processes like processing gigabytes of unstructured data.

It is the derivation of context from these data and the generation of terminologies that allow implicit connections to be correlated and made visible.

The areas of application range from the automation of work processes for clinical studies to chatbots, virtual assistants, and sentiment analysis.

NLP chart L-One Systems

In sechs Schritten durch das NLP Projekt

› Schritt 1: Analyse
Fachwissen/Fachsprache aufbauen

› Schritt 2: Datenhandling
Umgang mit großen Datenmengen

› Schritt 3: Strukturierung
Einfache Strukturierung der Daten

› Schritt 4: Reporting
Automatisierte Erstellung von Berichten

› Schritt 5: Zeitersparnis
Weniger Aufwand, schnellere Ergebnisse

› Schritt 6: Archivierung
Leichtere und klarere Archivpflege

Why Tailor Natural Language Processing?

After assessing the data, we combine the best of both worlds: the power of algorithms and our linguistic experience.

We help our customers extract valuable information from large volumes of digital text data.

Customer Testimonials

»For many years, L-One Systems has been our reliable partner for the automated analysis of large amounts of data and the conversion into text form..«
– Dr. Barry Drees,
Senior Partner Trilogy Writing & Consulting
»Als Expertenteam für den NLP-Bereich unserer Lernplattform, sorgt L-One für eine schnelle und immer fehlerfreie Anbindung des Chatbots.«
– Yannick Melameka,
Gründer und CEO Nitrexo

Read More About NLP

Natural Language Processing (NLP) is often mentioned along with a related buzz word and another IT discipline. The two have intersections, but are not synonyms. The related buzzword is “AI” (Artificial Intelligence), the related IT discipline is “Machine Learning”.

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Building and developing innovative automation of clinical trial reporting to shorten the timeline of regulatory approval processes:  How Natural Language Processing – NLP supports clinical documentation.

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From product feedback to sympathy ratings for politicians, sentiment analysis (SA) can be used to extract and evaluate emotional preferences from text data. How do companies and political parties use this “Emotion AI” and what types of SA are used?

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Have we Sparked Your Interest?

We are L-One Systems. Your partner for NLP projects from Darmstadt. Learn more about the potential in your data. Automating the processing of large volumes of written or spoken texts brings speed to business processes. 

An initial meeting serves as a sparring session. It helps you to better understand what you really want so that you can start your project.

Sarah Hohlschneider, Head of NLP
Sarah knows pitfalls and traps in NLP projects – and how to avoid them. For five years she has been heading the NLP team of L-One.