Deriving Personality Traits from Text

If you’d ask me, one the most compelling fields in language processing is that of authorship profiling. In this field, we try to derive specific information about an (unknown) author of text based on what he or she writes alone, using a principle called stylometry. The idea is that what…

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The (Non-)Sense of Word Vectors (2/2)

This is the second part in a two-series blog. Read the first part here. In the previous part, we discussed the differences between syntactical and semantical applications of natural language processing. In both scenarios, word vectors seem like a promising way forward given their recent popularity and success. As we…

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The (Non-)Sense of Word Vectors (1/2)

In this series of two blogs, we will investigate the usage of word vectors for a variety of applications. It is no secret that we at UnderstandLing love Deep Learning and Word Vectors in particular. The implementation of word vectors that is FastText, even more so. We even have our…

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Content-Based Tagging

Tagging your websites is generally a good idea if you want to keep track of your campaigns or have a central point of loading all your analytics in a coherent way. There are a lot of tag management tools out there that let you accomplish just this. Of course we…

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Image Recognition Using TensorFlow in Java

At UnderstandLing, we already do quite a lot of natural language processing. One of the main – though by far not the only – sources of getting textual data for us are social media. While social media started out being quite textual, we now see a shift towards more visual…

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The Need to Know Your Customer

The field of customer experience monitoring is a booming business, just google the term and you will be overloaded with suppliers, vendors and definitions. Terms such as a 360-degree customer view, conversion attribution and omnichannel occur from every corner. While a broad field in its entirety, customer experience monitoring can…

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Unsupervised Deep Parsing

As I have written before, it is not always easy to understand the possibilities of current-day text analytics algorithms, much more can be done than we actually are aware of. Among some of the more difficult tasks of text analysis is the task of deep parsing – a term encompassing…

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