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What’s the News with Neural Networks?

There are many reasons for the explosion of machine learning advancements over the past decade. We now have vastly improved hardware for fast computation, and memory is cheaper than ever. Data is now “Big Data,” and it is both jealously hoarded and publicly available in repositories such as ImageNet. Individually, these advancements are already a blessing for the technology-space. But for artificial intelligence (AI), they have opened the gates for…
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Comparing Machine Translation to Native Language Analysis

As our world becomes increasingly global, so does our data. Being an analyst working with almost any size company today often means facing the challenge of receiving text data that contains multiple languages. So what do you do? Essentially, there are two options we may consider: machine translation or native language analysis. With machine translation, we actually create a new dataset where the text has all been translated into a…
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Leveraging online product reviews

In 2018, US customers spent over $500 billion on online shopping. Often, customers write reviews to describe their experience and sentiments about the products they purchased. Since the reviews are publicly available to the world, they naturally play an important role in influencing potential customers’ purchase decisions, steering them towards or away from buying certain products. Online product reviews represent a unique source of unbiased information: customers are sharing their opinions…
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Beyond keyword searching

When we begin a search on the internet, we often use a simple keyword to find exactly what we need. With specified information captured, there are several backend components that feed into the end result. Naturally, we take for granted this instantaneous retrieval. What goes on behind that search contributes to its relevancy, such as the context, the scope, and whether to include information adjacently related to the keyword. Similar…
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