Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)
Episode 38 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)" was published on August 14, 2018 and runs 36 minutes.
August 14, 2018 ·36m · Data Science at Home
Summary
Today’s episode is about text analysis with python. Python is the de facto standard in machine learning. A large community, a generous choice in the set of libraries, at the price of less performant tasks, sometimes. But overall a decent language for typical data science tasks. I am with Rebecca Bilbro, co-author of Applied Text Analysis with Python, with Benjamin Bengfort and Tony Ojeda. We speak about the evolution of applied text analysis, tools and pipelines, chatbots.
Episode Description
Today’s episode is about text analysis with python. Python is the de facto standard in machine learning. A large community, a generous choice in the set of libraries, at the price of less performant tasks, sometimes. But overall a decent language for typical data science tasks.
I am with Rebecca Bilbro, co-author of Applied Text Analysis with Python, with Benjamin Bengfort and Tony Ojeda.
We speak about the evolution of applied text analysis, tools and pipelines, chatbots.
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