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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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Using Color to Increase the Visual Effectiveness of Reports

The importance of color in analytical reports can be determined by several factors. Many analysts believe that the final results/numbers will speak for themselves and overlook this vital step. Often, just knowing your audience (the person reviewing the report) can be insightful. The goal is to showcase the results in an organized, professional snapshot that encourages information absorption. Color can detract from the overall message and promote discord, so that…
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Defining text & data analytics

Brian Howard, Sales & Marketing Manager, talks about the differences between text and data analytics and how we use these insights for better business decisions.
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