Street Fighting Trend Research

on YouTube ↗48m

" summary

Hands-on recipes show how to scrape and analyze research pages, conference proposals and Foursquare venue graphs using Pandas and NTLK inside an IPython Notebook. Three messy but working notebooks get data from Google Research and conference programs, extract and stem terms, cluster abstracts, detect that “quality” appears 27 times in 2014 vs baseline, and build Foursquare networks whose PageRank highlights the airport as dominant while betweenness surfaces changing hotspots. Code and notebooks live on GitHub and produce reproducible weak‑signal leads.

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" chapters (9)

1. 0:00Street fighting Trend research
2. 3:01Trend research needs hacking skills
3. 8:01Predicting the present with alternative data
4. 11:15Weak signals and future research
5. 19:49DIY data collection for Trends
6. 21:58Mining research papers for hot topics
7. 34:14Foursquare location Trends
8. 41:51Conference talk mining for trends
9. 42:56Q&A

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