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.
We analyze the potential in your data.
Data quality reports and an initial Project Roadmap.
We teach your bot what your customers really want to know.
A bot that knows your goals and reliably implements them.
We summarize your texts at the push of a button.
More time to pursue challenging tasks.
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.
› Schritt 1: Analyse
› 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
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.
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”.
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?
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.