69 min listen
GenSim with Radim Řehůřek
ratings:
Length:
53 minutes
Released:
Aug 20, 2016
Format:
Podcast episode
Description
Being able to understand the context of a piece of text is generally thought to be the domain of human intelligence. However, topic modeling and semantic analysis can be used to allow a computer to determine whether different messages and articles are about the same thing. This week we spoke with Radim Řehůřek about his work on GenSim, which is a Python library for performing unsupervised analysis of unstructured text and applying machine learning models to the problem of natural language understanding.
Released:
Aug 20, 2016
Format:
Podcast episode
Titles in the series (100)
Jacob Kovac on KivEnt by The Python Podcast.__init__