How to Retrieve Tweets By Keyword and Identify Named Entities

Identifying named entities in tweetsLast week we introduced the named entity recognition algorithm for extracting and categorizing unstructured text.

In this post we’ll show you how to get data from Twitter, clean it with some regex, and then run it through named entity recognition. With the output we get from the algorithm, we can then group the data by the category each named entity is assigned to, and then extract the categories we are interested in.

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Deep Filter: Getting Started With Style Transfer

Algorithm Spotlight: Deep Filter There’s been a lot of interest lately in a deep learning technique called style transfer, which is the process of reimagining one image in the style of another.

It’s fun way to convert photos or images into the style of a masterpiece painting, drawing, etc. For instance, you could apply the artistic style of Van Gogh’s Starry Night to an otherwise boring photo of the Grand Canal in Venice, Italy.
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Using Named Entity Recognition to Categorize Text Data

Use Named Entity Recognition to Categorize Unstructured TextUnstructured text content is rich with information, but it’s not always easy to find what’s relevant to you.

With the enormous amount of data that comes from social media, email, blogs, news and academic articles, it becomes increasingly hard to extract, categorize, and learn from that information.

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