Fin-buzz^TM is based on sophisticated search and web crawls, which 'scrape' the required text from leading financial sites at pre-selected times.  Automated analysis is then carried out using advanced text mining techniques developed by Spectrum, the company that owns and developed Fin-buzz^TM, based on sentiment ‘dictionaries’.  Like the highly effective Spam filters now coming into use, these take advantage of conditional probability based on Bayesian statistics and neural networks to continuously improve the analysis. 

Fin-buzz^TM reports are available in real-time, 24 x 7, using web-based dashboards.  For those not already familiar with dashboards they offer many benefits over traditional reports.  They present data in a format that enables readers to glean information quickly and easily.  They also enable non-technical managers to query data intuitively, removing the age old problem associated with research reports that spend more time collecting dust on shelves than adding real business value.  Very importantly, dashboards are ideally suited to real-time analysis and decision-support. 

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