Tag: Text classification
Text classification, also known as text tagging or text categorization, is the process of categorizing text into pre-defined categories. The technique is a subset of Natural Language Processing (NLP).
Use cases include sentiment analysis of user feedback, OSINT analysis of web content or the extraction of text elements such as claims within a contract or patent.
How to annotate categories manually? – Kairntech Documentation
How to use category suggestions? – Kairntech Documentation
How to experiment categorization with models? – Kairntech Documentation
Semantic fingerprints for IPTC classification
Information providers need to add value to the content they are producing. But tagging and classifying content to enrich internal knowledge bases is tedious, time consuming and error prone. Yet these knowledge bases are the cornerstone of value-added services. The patent-pending semantic fingerprints for IPTC classification from Kairntech provides a smart solution for multilingual text…
Kairntech wins European Defense Fund project
We are proud to announce that Kairntech wins a European Defense Fund (EDF) project. This call for projects received in total €1,031 million of EU funding. Kairntech is a leading technology provider of the NEMO consortium which is led by Sintef AS (Norway). Over the course of this 5-year project NEMO will develop a state-of-the-art…
Software release (Manta)
We are very proud to present our latest software release (code name “Manta”). This release allows customers to create business value even faster with exciting new components (RAG, Whisper for Speech-to-text conversion…) and the latest Large Language Models (GPT, Llama2, Mistral…). Fast prototyping The implementation of the Retrieval Augmented Generation (RAG) framework in the platform…
Kairntech chosen as NLP/AI platform to support research on Open Innovation
Grenoble/Stuttgart March 6, 2023 – For their upcoming research project on Open Innovation, funded by the German Bundesland Baden-Württemberg, Fraunhofer IAO and TecIntelli have selected the AI/NLP platform from Kairntech. Kairntech will support the relevant large-scale analysis of web content and scientific publications in order to derive insights into trends and options around innovation processes.…
Document categorization and Entity Extraction: These NLP veterans are as relevant as ever
The Importance of Traditional NLP Use Cases: Document categorization and entity extraction NLP is booming. The pace of progress is impressive, the recognition of the field and what it has to offer is solid throughout the industry. Significant progress on issues that a few years ago where notoriously difficult to tackle: Question answering, natural language…
ROI of NLP platforms
Why natural language processing (NLP) platforms save over 80% of your time Impressive recent progress in Natural Language Processing (NLP) models, for a large majority coming from the open sourced community, do not necessarily go hand in hand with delivering business value for domain experts. ROI of NLP platforms are judged by the requirement to…
Text classification and categorization
Classify unstructured document collections Assigning documents to categories is a key step in bringing structure to larger document collections. Users can narrow their study of a search result to a particularly relevant topic or forward subsets of documents to colleagues with a respective interests. Kairntech has offered text classification since the beginning. However, document categorization…
Make the Voice of the Customer a Top Priority!
Direct customer feedback In a highly competitive environment, knowing customer complaints and expectations has become a major challenge for all companies. Direct customer feedback has become an increasingly important contributor since the emergence of the Internet. Whether it be results from a speech recording converted into text, a comment from a marketing survey, an incoming…
Quick tutorial: Easy document categorization with Kairntech
Do you know this situation: You have loads of documents to categorize, no training corpus……and you don’t want to ask the experts to build a categorizer for you? Our quick tutorial explains how you can do it on your own: The machines should adapt to you and your needs! (and not vice versa!)
Kairntech Webinar: Using Machine Learning to Automate Document Analysis Tasks
Processing “Call for Tender” Documents with the Kairntech platform Tuesday May 12, 2020, 16:00 CESTPresenters: Stefan Geißler and Vincent NibartDuration: 60min. Please register to receive the link for participation: registration is closed Many important business processes require finding, collecting and analysing information from text documents. Machine Learning can provide valuable support in making these processes easier, quicker and less…