Natural Language Processing
Sentiment Analysis is the use of Natural Language Processing (NLP), Text Analysis and Computational Linguistics to identify and extract subjective information from text. Every day, hundreds of thousands of news and opinions affecting publicly traded companies, commodities, and currencies, are made available in the public domain – through News Publications, Blogs, and even Social Media. Sifting through all this data in real-time, to determine which events and reports could potentially have a positive or a negative impact on the underlying Security, is not humanly possible.
Heckyl has developed its own proprietary Sentiment Analysis engine, that efficiently and accurately computes a Sentiment for companies, commodities, and currencies, based on news articles flowing into the system – in real-time.