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Modeling with convolutional neural networks in PolyAnalyst

We are pleased to announce that PolyAnalyst now supports modeling data using convolutional neural networks. A convolutional neural network, also known as a ConvNet or CNN, is a particular kind of neural network. Understanding what a ConvNet does is simply a matter of understanding the general concept of a neural network, and then focusing on the distinct characteristics of the convolutional adjective. Neural networks are one of the most popular…
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Thanks for attending the 2018 Megaputer Analytics Conference

We had a great experience at the Megaputer Analytics Conference this year. Of course, this event would have been nothing special if it were not for the attending professionals whose engagement and contributions enhanced the content and discussion. A special thanks to the guest speakers for sharing their challenges faced and current applications developed using data and text analysis. We appreciate all the feedback about how everyone enjoyed the interactive…
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Flagging documents with timestamps after an event

We have electronic medical records containing free text descriptions as well as structured information like patient IDs, hospital admission IDs, and date/time. One patient may have multiple additions to his or her medical record over the course of one hospital stay, so there may be several records with the same patient ID and hospital admission ID, but different notes and timestamps. The Problem We want to use free text in…
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Beyond text: The underlying levels of information

When facing a project requiring text analysis, it can be hard to know where to start. Language is a complex phenomenon. Language serves a variety of communicative purposes – sometimes more than one within a single expression. An easy way to give a starting point to our analysis is to answer the following two questions: What am I looking for? How is this expressed in language? This first question represents…
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