Measuring the Influence of Fashion Designers episode artwork

EPISODE · Aug 14, 2015 · 24 MIN

Measuring the Influence of Fashion Designers

from Data Skeptic

Yusan Lin shares her research on using data science to explore the fashion industry in this episode. She has applied techniques from data mining, natural language processing, and social network analysis to explore who are the innovators in the fashion world and how their influence effects other designers. If you found this episode interesting and would like to read more, Yusan's papers Text-Generated Fashion Influence Model: An Empirical Study on Style.com and The Hidden Influence Network in the Fashion Industry are worth reading.

Episode metadata supplied by the publisher feed · Published Aug 14, 2015

Embed this episode

NOW PLAYING

Measuring the Influence of Fashion Designers

0:00 24:42

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Skeptic?

This episode is 24 minutes long.

When was this Data Skeptic episode published?

This episode was published on August 14, 2015.

Can I download this Data Skeptic episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!