I have spent much of my career as a graduate student researcher, and now as a Data Scientist in the industry. …

A Gensim Word2Vec Tutorial — The idea behind Word2Vec is pretty simple. We’re making an assumption that the meaning of a word can be inferred by the company it keeps. This is analogous to the saying, “show me your friends, and I’ll tell who you are.” If you have two words that have very similar…

When it comes to software automation, many teams turn to AI as their potential answer. AI in the form of machine learning or NLP may be an excellent solution to a problem. …

Why A Big Data Strategy is Critical for AI Big data describes the volumes of data that your company generates, every single day—both structured and unstructured. Analysts at Gartner estimate that more than 80 percent of enterprise data is unstructured. Meaning, they can be text files from IT logs, emails…

Have you run into issues acquiring the right type of data for your machine learning (ML) projects? You’re not alone. Many teams do. And data is one of the key sticking points in starting AI initiatives at companies. …

Prevent CSR burnout and improve customer service workflows with AI Got customer service data? Customer service inquiries come in all shapes and forms. Emails, support tickets, tweets, chat conversations with support staff, and chatbot conversations. That’s a lot of data that you’re dealing with. …

Have you seen machine learning solutions fall flat in practice? Well, I have. Several times. I get occasional panic calls from teams about their 98% accurate models generating questionable predictions once released to actual users. Did they build a bad model? Maybe. But the real issue is that the majority…

Back in 2006, when I had to use TF-IDF for keyword extraction in Java, I ended up writing all of the code from scratch. Neither Data Science nor GitHub were a thing back then and libraries were just limited. The world is much different today. You have several libraries and…

Based on some recent conversations, I realized that text preprocessing is a severely overlooked topic. A few people I spoke to mentioned inconsistent results from their NLP applications only to realize that they were not preprocessing their text or were using the wrong kind of text preprocessing for their project. …