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Shuyo's Weblog | About my favorite technical subjects

About my favorite technical subjects

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Shuyo's Weblog | About my favorite technical subjects | shuyo.wordpress.com Reviews
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About my favorite technical subjects
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Shuyo's Weblog | About my favorite technical subjects | shuyo.wordpress.com Reviews

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About my favorite technical subjects

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Why is Norwegian and Danish identification difficult? | Shuyo's Weblog

https://shuyo.wordpress.com/2012/03/07/why-is-norwegian-and-danish-identification-difficult

About my favorite technical subjects. Estimation of ldig (twitter Language Detection) for LIGA dataset. Freedman EMNLP11] Extreme Extraction Machine Reading in a Week →. Why is Norwegian and Danish identification difficult? March 7, 2012. I re-post the estimation table of ldig (twitter language detection). This shows that the accuracies of Norwegian and Danish are lower than others. It is because Norwegian and Danish are very similar. Here is top 25 of the word distribution of Norwegian and Danish. Mmm, ...

2

July | 2013 | Shuyo's Weblog

https://shuyo.wordpress.com/2013/07

About my favorite technical subjects. Monthly Archives: July 2013. Python implementation of Labeled LDA (Ramage EMNLP2009). July 24, 2013. Labeled LDA (D. Ramage, D. Hall, R. Nallapati and C.D. Manning; EMNLP2009) is a supervised topic model derived from LDA (Blei 2003). While LDA’s estimated topics don’t often equal to human’s expectation because it is unsupervised, Labeled LDA is to … Continue reading →. Python implementation of Labeled LDA (Ramage EMNLP2009). Blog at WordPress.com.

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[Kim+ ICML12] Dirichlet Process with Mixed Random Measures | Shuyo's Weblog

https://shuyo.wordpress.com/2012/07/31/kim-icml12-dirichlet-process-with-mixed-random-measures

About my favorite technical subjects. Short Text Language Detection with Infinity-Gram. HDP-LDA updates →. Kim ICML12] Dirichlet Process with Mixed Random Measures. July 31, 2012. We held a private reading meeting for ICML 2012. I took and introduced [Kim ICML12] “Dirichlet Process with Mixed Random Measures : A Nonparametric Topic Model for Labeled Data.”. This is the presentation for it. Although Labeled LDA is easy to implement (my implementation is here. This entry was posted in LDA. Thanks a lot for...

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Shuyo's Weblog | About my favorite technical subjects | Page 2

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About my favorite technical subjects. Newer posts →. Estimation of ldig (twitter Language Detection) for LIGA dataset. March 2, 2012. LIGA[Tromp 11] is a twitter language detection for 6 languages (German, English, Spanish, French, Italian and Dutch). It uses a graph with 3-grams for long distance features and detects 95-98% accuracy. They open their dataset here. Which has 9066 tweets, so it is possible to compare ldig (Language Detection with Infinity-Gram: site. Here is a ruby script to convert it.

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HDP-LDA updates | Shuyo's Weblog

https://shuyo.wordpress.com/2012/08/15/hdp-lda-updates

About my favorite technical subjects. Kim ICML12] Dirichlet Process with Mixed Random Measures. Python implementation of Labeled LDA (Ramage EMNLP2009) →. August 15, 2012. Hierarchical Dirichlet Processes (Teh 2006) are a nonparametric bayesian topic model which can treat infinite topics. In particular, HDP-LDA is interesting as an extention of LDA. Teh 2006) introduced updates of Collapsed Gibbs sampling for a general framework of HDP, but not for HDP-LDA. Eq 30 on [Teh 2006]). April 17, 2014 at 3:29 am.

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Elegant Coding: December 2012

http://www.elegantcoding.com/2012_12_01_archive.html

Data Science DC: Implicit Sentiment Mining in Twitter Streams. I have been attending the Data Science DC meetup. Pretty regularly as it’s an interesting meetup often with quite good talks, the most recent was a very interesting presentation called " Implicit Sentiment Mining in Twitter Streams. Max starts by talking about a system that his team at George Mason built to map sentiment during the 2012 presidential election which was then used to mine sentiment from current news, in this case the media cover...

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