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Increasing efficiency in banking processes
Through dida's expertise in the field of natural language processing (NLP) we succeeded in creating a software for the legal review of rental agreements.
With machine learning and NLP: Read about the development of software for the automatic verification of settlements using artificial intelligence.
Machine learning and information extraction: dida's AI-based algorithm simplifies business registrations through intelligent semantic search.
By Emilius Richter • July 18th, 2022
For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.
By Emilius Richter • May 21st, 2021
Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.
By Angela Maennel • April 26th, 2021
Read here about how open domain question answering systems work & how they can improve your website's search function.
By Lovis Schmidt • August 17th, 2020
Comparison of the open source Python PDF text extraction tools PyPDF2, pdfminer & PyMuPDF. Read about tools for extracting text from PDF files here.
By Fabian Gringel • March 30th, 2020
Find out about the best free labeling tools for natural language processing (NLP) text annotation, installation & configuration.
By Fabian Gringel • January 20th, 2020
Read about the comparison of OCR tools for text recognition and find out which the best text recognition software for your project is.
By Julius Richter • January 6th, 2020
Learn more about temporal convolutional networks, a convolutional approach to sequences: Model explanation, structure & implementations of TCNs here.
By Frank Weilandt (PhD) • April 23rd, 2019
Learn how extracting information from documents, also called information extraction, becomes a breeze when using a Python OCR tool.
