From d9b5667b3f4e5df4021c196a022777ffbc38abfe Mon Sep 17 00:00:00 2001
From: Haoming Jiang <544895340@qq.com>
Date: Fri, 12 Aug 2016 14:15:26 +0100
Subject: [PATCH] Link to Doc2Vec on airline tweets example in tutorials page
 (#823)

---
 tutorials.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tutorials.md b/tutorials.md
index 79e2a03374..3918353385 100644
--- a/tutorials.md
+++ b/tutorials.md
@@ -63,6 +63,7 @@
 * Doc2Vec requires a non-standard corpus (need sentiment label for each document)
 * [Great illustration of corpus preparation](https://linanqiu.github.io/2015/10/07/word2vec-sentiment/), [Code](https://github.com/linanqiu/word2vec-sentiments) ([Alternative](https://medium.com/@klintcho/doc2vec-tutorial-using-gensim-ab3ac03d3a1#.nv2lxvbj1), [Alternative 2](https://districtdatalabs.silvrback.com/modern-methods-for-sentiment-analysis))
 * [Doc2Vec on customer review](http://multithreaded.stitchfix.com/blog/2015/03/11/word-is-worth-a-thousand-vectors/) (example)
+* [Doc2Vec on Airline Tweets Sentiment Analysis](https://www.zybuluo.com/HaomingJiang/note/462804)
 * [Doc2vec to predict IMDB review star rating. Reproducing the Google paper](https://github.com/RaRe-Technologies/gensim/blob/develop/docs/notebooks/doc2vec-IMDB.ipynb)
 
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