<--- Back to Details
First PageDocument Content
Statistics / Probability / Statistical natural language processing / Probability distributions / Estimation theory / Regression analysis / Dynamic topic model / Latent Dirichlet allocation / Variational Bayesian methods / Mixture model / Topic model / Normal distribution
Date: 2015-07-30 17:50:53
Statistics
Probability
Statistical natural language processing
Probability distributions
Estimation theory
Regression analysis
Dynamic topic model
Latent Dirichlet allocation
Variational Bayesian methods
Mixture model
Topic model
Normal distribution

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

Add to Reading List

Source URL: homes.cs.washington.edu

Download Document from Source Website

File Size: 1,01 MB

Share Document on Facebook

Similar Documents

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

DocID: 1qUTR - View Document

ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media Nasir Naveed Sergej Sizov

ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media Nasir Naveed Sergej Sizov

DocID: 1qJPy - View Document

Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach  Univ. of California, San Diego

Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego

DocID: 1qFh4 - View Document

Named Entity Recognition in Query Jiafeng Guo† , Gu Xu‡ , Xueqi Cheng† , Hang Li‡ † ‡

Named Entity Recognition in Query Jiafeng Guo† , Gu Xu‡ , Xueqi Cheng† , Hang Li‡ † ‡

DocID: 1qFgL - View Document

FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering

FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering

DocID: 1qvca - View Document