{"id":3064,"date":"2017-11-15T15:20:12","date_gmt":"2017-11-15T14:20:12","guid":{"rendered":"https:\/\/www.intellias.com\/?p=3064"},"modified":"2023-09-19T14:23:14","modified_gmt":"2023-09-19T12:23:14","slug":"text-mining-nlp-platform-for-semantic-analytics","status":"publish","type":"post","link":"https:\/\/intellias.com\/text-mining-nlp-platform-for-semantic-analytics\/","title":{"rendered":"Text Mining NLP Platform for Semantic Analytics"},"content":{"rendered":"
An innovator in natural language processing and text mining solutions, our client develops semantic fingerprinting technology as the foundation for NLP text mining and artificial intelligence software. Our client\u2019s company, based in Vienna and San Francisco, addresses the challenges of filtering large amounts of unstructured text data, detecting topics in real-time on social media, searching in multiple languages across millions of documents, natural language processing, and text mining. Our client was named a 2016 IDC Innovator in the machine learning-based text analytics market as well as one of the 100 startups using Artificial Intelligence to transform industries by CB Insights.<\/p>\n
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Inspired by the latest findings on how the human brain processes language, this Austria-based startup worked out a fundamentally new approach to mining large volumes of texts to create the first language-agnostic semantic engine. Fueled with hierarchical temporal memory (HTM) algorithms, this text mining software generates semantic fingerprints from any unstructured textual information, promising virtually unlimited text mining use cases<\/span> and a massive market opportunity.<\/p>\n Our client partnered with us to scale up their development team and bring to life their innovative semantic engine for text mining. Our expertise in REST, Spring, and Java was vital, as our client needed to develop a prototype that was capable of running complex meaning-based filtering, topic detection, and semantic search over huge volumes of unstructured text in real time.<\/p>\nTechnology solution<\/h2>\n