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Jason Chuang | Data Analytics, Visualization, Machine Learning

My research on data analytics focuses on the design of interactive visualizations and statistical models to enable people and algorithms to work in tandem to yield insights from complex data.

http://jason.chuang.info/

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Jason Chuang | Data Analytics, Visualization, Machine Learning | jason.chuang.info Reviews
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My research on data analytics focuses on the design of interactive visualizations and statistical models to enable people and algorithms to work in tandem to yield insights from complex data.
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jason chuang,in computer science,from stanford university,and statistical models,call for papers,emerald landing,affiliations,stanford nlp group,stanford hci group,information,curriculum vitae,google scholar profile,all details,data analytics,analytics
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Jason Chuang | Data Analytics, Visualization, Machine Learning | jason.chuang.info Reviews

https://jason.chuang.info

My research on data analytics focuses on the design of interactive visualizations and statistical models to enable people and algorithms to work in tandem to yield insights from complex data.

LINKS TO THIS WEBSITE

jason.chuang.ca jason.chuang.ca

Decadance Spring Show (Part I) | jason.chuang.ca

http://jason.chuang.ca/2009/06/13/decadance-spring-show-1

Decadance Spring Show (Part I). Photography by Jason Chuang. Mountain View, California June 13, 2009. Dances from the Decadance. Spring Show at Mountain View Center for Performing Arts on June 13, 2009. 8230; One Step to Save the World. 8230; Walk Away. 8230; Shake Ya Boogie. 8230; Swing It. 8230; Paris Waltz. 8230; Part II ». 8230; Part III ». One Step to Save the World. Music by Jordin Sparks and Modonna and Justin Timberlake, Choreography by Eric Liu. Includes two photo (left) from technical rehearsal.

idl.cs.washington.edu idl.cs.washington.edu

UW Interactive Data Lab | Papers

http://idl.cs.washington.edu/papers/interactive-translation

Human Effort and Machine Learnability in Computer Aided Translation. Christopher D. Manning. Human Effort and Machine Learnability in Computer Aided Translation. Christopher D. Manning. Empirical Methods in Natural Language Processing.

www-nlp.stanford.edu www-nlp.stanford.edu

GloVe: Global Vectors for Word Representation

http://www-nlp.stanford.edu/projects/glove

GloVe: Global Vectors for Word Representation. Christopher D. Manning. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. Getting started (Code download). Licensed under the Apache License, Version 2.0. Unpack the files: unzip GloVe-1.2.zip. For preprocessing Twitter data.

idl.cs.washington.edu idl.cs.washington.edu

UW Interactive Data Lab | Papers

http://idl.cs.washington.edu/papers

Vega-Lite: A Grammar of Interactive Graphics. IEEE Trans. Visualization and Comp. Graphics (Proc. InfoVis). Bayesian Weighting for De-Biasing Thematic Maps. IEEE Trans. Visualization and Comp. Graphics (Proc. InfoVis). SimpleScience: Lexical Simplification of Scientific Terminology. Empirical Methods in Natural Language Processing. Towards A General-Purpose Query Language for Visualization Recommendation. ACM SIGMOD Human-in-the-Loop Data Analysis (HILDA). Computer Graphics Forum (Proc. EuroVis). Reactiv...

idl.cs.washington.edu idl.cs.washington.edu

UW Interactive Data Lab | People

http://idl.cs.washington.edu/people

XC7;ağatay Demiralp.

nlp.stanford.edu nlp.stanford.edu

GloVe: Global Vectors for Word Representation

http://nlp.stanford.edu/projects/glove

GloVe: Global Vectors for Word Representation. Christopher D. Manning. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. Getting started (Code download). Licensed under the Apache License, Version 2.0. Unpack the files: unzip GloVe-1.2.zip. For preprocessing Twitter data.

idl.cs.washington.edu idl.cs.washington.edu

UW Interactive Data Lab | Papers

http://idl.cs.washington.edu/papers/ptm

Predictive Translation Memory: A Mixed-Initiative System for Human Language Translation. Christopher D. Manning. Predictive Translation Memory: A Mixed-Initiative System for Human Language Translation. Christopher D. Manning. ACM User Interface Software and Technology (UIST).

nlp.stanford.edu nlp.stanford.edu

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

http://nlp.stanford.edu/sentiment/index.html

Deeply Moving: Deep Learning for Sentiment Analysis. This website provides a live demo. Are positive but the following sentence is still negative overall:. This movie was actually neither that funny, nor super witty. The underlying technology of this demo is based on a new type of Recursive Neural Network. That builds on top of grammatical structures. You can also browse the Stanford Sentiment Treebank. Of course, no model is perfect. You can help the model learn even more by labeling sentences.

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Jason Chuang | Data Analytics, Visualization, Machine Learning

I am currently a visiting research scientist at the Allen Institute for Artificial Intelligence. I received my Ph. D. Working with Jeffrey Heer. And Christopher D. Manning. And was previously a post-doctoral researcher at the University of Washington. My research on data analytics. Focuses on the design of interactive visualizations. To enable people and algorithms. To work in tandem to yield insights from complex data. Including social sciences and genetics research. Allen Institute for AI. We presented...

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