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Measuring the Influence of Fashion Designers

Measuring the Influence of Fashion Designers

FromData Skeptic


Measuring the Influence of Fashion Designers

FromData Skeptic

ratings:
Length:
25 minutes
Released:
Aug 14, 2015
Format:
Podcast episode

Description

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.
Released:
Aug 14, 2015
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.