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cemoody
lda2vec
Python2016–2016
cemoody / lda2vec

lda2vec

Discover this repository through its Hacker News conversations.

2Distinct people
2Mentions
0Explicit recommenders
3.2KGitHub stars
REPOSITORY AT A GLANCE

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What it is

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Where it is used

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What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2016-01-18 11:32:27 UTC to 2016-04-03 13:06:25 UTC. Weeks start Monday, UTC.

012016-01-18 00:00:00 UTC to 2016-01-25 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 182016-01-25 00:00:00 UTC to 2016-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-01 00:00:00 UTC to 2016-02-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-08 00:00:00 UTC to 2016-02-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-15 00:00:00 UTC to 2016-02-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-22 00:00:00 UTC to 2016-02-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 222016-02-29 00:00:00 UTC to 2016-03-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-07 00:00:00 UTC to 2016-03-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-14 00:00:00 UTC to 2016-03-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-21 00:00:00 UTC to 2016-03-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-28 00:00:00 UTC to 2016-04-04 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 28

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 182016-01-18 00:00:00 UTC2016-01-25 00:00:00 UTC101
Jan 252016-01-25 00:00:00 UTC2016-02-01 00:00:00 UTC000
Feb 12016-02-01 00:00:00 UTC2016-02-08 00:00:00 UTC000
Feb 82016-02-08 00:00:00 UTC2016-02-15 00:00:00 UTC000
Feb 152016-02-15 00:00:00 UTC2016-02-22 00:00:00 UTC000
Feb 222016-02-22 00:00:00 UTC2016-02-29 00:00:00 UTC000
Feb 292016-02-29 00:00:00 UTC2016-03-07 00:00:00 UTC000
Mar 72016-03-07 00:00:00 UTC2016-03-14 00:00:00 UTC000
Mar 142016-03-14 00:00:00 UTC2016-03-21 00:00:00 UTC000
Mar 212016-03-21 00:00:00 UTC2016-03-28 00:00:00 UTC000
Mar 282016-03-28 00:00:00 UTC2016-04-04 00:00:00 UTC110

What Hacker News says

2 sources
This looks really interesting, but it pretty hard to follow without the video. My summary after a quick flick through is that it is a better classification(/clustering?) model for text, because it takes Word2Vec-style similarity into account, which plain LDA doesn't. That sounds like a reasonable approach to me, and nice to see someone get it working. I think. Comments? Here is the version with notes. I haven't read this through yet: http://www.slideshare.net/ChristopherMoody3/word2vec-lda-and... Code here, BTW: https://github.com/cemoody/lda2vec
In Word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

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