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In our analysis of textual data there are many different types of entities we need to identify and capture such as companies, organizations, places, currencies, stocks, and people. The difficulties in accurately capturing entities in text This task alone can be challenging, but in many scenarios it is further complicated by the fact that entities can be highly contextual and can be referenced in a myriad of forms. Referencing people…

Algorithmic extraction of entities from text is a powerful tool and a core feature of PolyAnalyst, but it can be difficult to get results with absolutely no false positives. Previously, the user would have to reword the algorithm little by little to remove each false positive, or find some other way to filter the results. Fortunately PolyAnalyst supports manual validation of entity extraction results. In effect this means that a…