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Natural Language Processing

With Natural Language Processing (NLP), you can implement various applications that are based on the analysis, understanding, and creation of natural language and texts.

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Analyze, understand, and generate texts – with Natural Language Processing.

Your way to a data-driven organization

NLP, or Natural Language Processing, is a subfield of artificial intelligence that deals with the analysis, understanding, and generation of human language. It enables computer systems to understand and interpret human language in a way that is similar to human capabilities. Companies can use NLP to efficiently extract information from large data sets such as social media, customer feedback, and other unstructured data and completely automate specific processes. Natural Language Processing is used to translate texts, answer questions, summarize content, and perform many other manual tasks in seconds.

The latest NLP models are mostly based on complex deep learning architectures. During the training of these models, large amounts of texts are transformed and processed into computer-readable language. The model learns different rules and patterns to understand and interpret language meaningfully. Rapid progress in the way these models learn, the amount of available data, and increased computing power have recently achieved significant breakthroughs in the abilities of these models. With GPT-3, ChatGPT, Bart, and many other models, it seems like we are at the beginning of a new era of NLP.

The implementation of NLP applications is a core competency of our data scientists, which we have already successfully demonstrated in many projects. With our support, you can use natural language models to optimize your business processes and completely automate certain processes.

Benefits of Natural Language Processing

  • Automation of manual processes

    Wherever people currently understand texts, summarize them, or extract information, there are potential automation opportunities.

  • Insights from large data sets

    NLP can be used to analyze insights from huge data sets and filter important information in a short amount of time.

  • Improved customer experiences

    Chatbots in customer service allow companies to respond more efficiently, quickly, and better to their customers’ inquiries.

  • Creation of human-level texts

    AI models are now capable of writing texts that are indistinguishable in quality and structure from human creations.

Use cases
for NLP

Trend Scouting

From current data such as online news, articles, and social media, companies can derive relevant trends.

Text summarization

Use Natural Language Processing to summarize any texts in any language.

Digital assistants and chatbots

Use modern chatbots and digital assistants to improve your customer service.

Dialogue and sentiment analysis

Automatically detect the moods and contents of customer conversations, social media posts, reviews, or emails.

AI-written texts

Use AI to generate emails, marketing content, articles, and pretty much any form of text in seconds.

Text recognition on documents

With AI, you can extract non-machine-readable texts from invoices, IDs, or other documents.

E-Mail-Routing

With NLP, text contents can be classified and forwarded. This offers great potential in customer communication.

Personalized search engines

With the latest NLP algorithms, large amounts of even unstructured data can be efficiently and precisely searched.
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Our strength

500 Data and AI Projects successfully realized
100 Customers from 10 industries
85 Experts from 17 fields of study
10 Years of experience in Data Science, ML and AI

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Benefit from
NLP now!

As a leading consulting and development company for Natural Language Processing, we help you to fully exploit the benefits of these technologies. Contact us today to learn how you can benefit.

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marcel plaschke
Dr. Ingo Marquart
NLP Cluster Lead