Rapid-I provides software, solutions, and services in the fields of predictive analytics, data mining, and text mining. The company concentrates on automatic intelligent analyses on a large-scale base, i.e. for large amounts of structured data like database systems and unstructured data like texts. The open-source data mining specialist Rapid-I enables other companies to use leading-edge technologies for data mining and business intelligence. The discovery and leverage of unused business intelligence from existing data enables better informed decisions and allows for process optimization.
Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Most data problems can be framed as a competition.
we are developing SenticNet, a publicly available semantic and affective resource for opinion mining and sentiment analysis, built by means of sentic computing. By providing the semantics and sentics (that is, the cognitive and affective information) associated with over 14,000 concepts, SenticNet represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, ...
"CODE's vision is to establish the foundation for a web-based, commercially oriented ecosystem for Linked Open Data.
Our use case focuses on research papers as a source for mining facts and their integration into LOD repositories and light-weight ontologies. Hence, we will leverage the wealth of knowledge contained in research publications on a semantic, machine-readable level by creating the Linked Science Data cloud."
Our lab focuses on research and applications of Semantic Computing, Text Mining, Linked Data, Natural Language Processing (NLP), Intelligent Information Systems, and related technologies. We are committed to providing free, open source software and open research data to the community.
PoolParty product family supports scenarios relevant for enterprise metadata and information management. Metadata management based on the open Semantic Web standard SKOS, Semantic Enterprise Search & highly performant text mining and data integration based on linked data technologies. PoolParty´s APIs allow integration of semantic technologies with other systems like CMS, DMS, web shops or Wikis.
PoolParty is a thesaurus management system and a SKOS editor for the Semantic Web including text mining and linked data capabilities. The system helps to build and maintain multilingual thesauri providing an easy-to-use interface. PoolParty server provides semantic services which can be used to integrate semantic search or recommender systems into systems like CMS, DMS, CRM or Wikis.
The goal of the DMO Foundry is to gather the most significant ontologies concerning data mining and the different algorithms and resources that have been developed to support the knowledge discovery process.
Primal Fusion is a Waterloo-based startup that is about to come out of stealth mode, with a technology focused in semantic data retrieval.
You can find transcription of the main issues of this video presentation down here below: .......
The latest project by Stephen Wolfram is defined as the first "computational knowledge engine", something capable of answering factual question for you.
The Wolfram engine is described as "a proprietary system based on fields of knowledge, containing terabytes of curated data and millions of lines of algorithms to represent real-world knowledge as we know it".
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.