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Tips for creating better looking reports

Creating reports with PolyAnalyst is a great way to illustrate the insight that you gained from analysis. However, creating a nice looking report can be challenging. For example, how do you decide which results to display at the top of your report? How will viewers of the report interact with it? We are happy to provide you some tips for building better looking reports. Planning comes first. Your objective of…
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Identifying subrogation opportunities

For some time we at Megaputer have been developing an exciting application of both natural language processing and machine learning. But before we discuss how a solution the task of identifying subrogation opportunities works, let’s first sufficiently identify the problem in its domain. Insurers initially fulfill claims regardless of fault Consider an insurance company. Our solution deals with auto insurance and it is helpful to use auto insurance to learn…
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Is your product “excellent” or just “okay”?

Sentiment Analysis methods classify data, such as customer reviews, by negative or positive sentiment based on an individual’s opinions or attitudes toward any object (e.g., products, services, etc.). Typically, these methods can find evaluative terms or phrases, like “great” or “bad” or “very tasty”, around an object of interest, and then classify them into negative or positive sentiment, and sometimes also neutral sentiment. However, classifying an evaluation as just positive,…
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Introduction to machine learning

Data analyst Chris Farris takes us through the idea behind machine learning and how this segment of AI is affecting business and our personal lives. Hear his insights for the future of machine learning that will impact life as we know it for the next 50 years.
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