veyepar: Summarizing documents

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Description:	Extractive summarization — finding the salient points in a document or corpus — is one of the most fundamental tasks in natural language processing. I’ll show you three ways to do it. One dates back to an IBM Journal article from 1958. One uses topic modeling, a technology from the 2000s. And one uses neural network-derived language embeddings and long short term memory networks — techniques that are only a couple of years old. I’ll explain the algorithms, show code and demos for all three, and I’ll discuss the engineering trade-offs. markdown
Comment:	delay=1.0 But like you say, it's almost unnoticeable, and in any case it would be hard to improve without full screen of my face. Given that, I'm happy if you are! production notes

2016-07-16/14_12_30.ts Apply: 14:12:30 - 14:15:29 ( 00:02:59 ) S: 14:12:30 - E: 14:42:29 D: 00:29:59 (End: 179.0) show more...

vlc ~/Videos/veyepar/big_apple_py/pygotham_2016/dv/Room_CR4/2016-07-16/14_12_30.ts :start-time=00.0 --audio-desync=0

2016-07-16/14_12_30.ts Apply: 14:15:29 - 14:42:29 ( 00:27:00 ) S: 14:12:30 - E: 14:42:29 D: 00:29:59 (Start: 179.0) show more...

vlc ~/Videos/veyepar/big_apple_py/pygotham_2016/dv/Room_CR4/2016-07-16/14_12_30.ts :start-time=0179.0 --audio-desync=0

2016-07-16/14_42_30.ts Apply: 14:42:30 - 15:10:09 ( 00:27:39 ) S: 14:42:30 - E: 15:12:29 D: 00:29:59 (End: 1659.0) show more...

vlc ~/Videos/veyepar/big_apple_py/pygotham_2016/dv/Room_CR4/2016-07-16/14_42_30.ts :start-time=00.0 --audio-desync=0

2016-07-16/14_42_30.ts Apply: 15:10:09 - 15:12:29 ( 00:02:20 ) S: 14:42:30 - E: 15:12:29 D: 00:29:59 (Start: 1659.0) show more...

vlc ~/Videos/veyepar/big_apple_py/pygotham_2016/dv/Room_CR4/2016-07-16/14_42_30.ts :start-time=01659.0 --audio-desync=0

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