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ACL
2012
13 years 4 months ago
Fine Granular Aspect Analysis using Latent Structural Models
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
Lei Fang, Minlie Huang
JMLR
2012
13 years 4 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
154
Voted
ER
2007
Springer
237views Database» more  ER 2007»
15 years 8 months ago
Business Process and Business Rule Modeling Languages for Compliance Management: A Representational Analysis
Organizations are under increasing scrutiny to document their compliance to regulatory requirements. To this end, they have to formally document their operating procedures to supp...
Michael zur Muehlen, Marta Indulska, Gerrit Kamp
AAAI
2012
13 years 4 months ago
Emoticon Smoothed Language Models for Twitter Sentiment Analysis
Twitter sentiment analysis (TSA) has become a hot research topic in recent years. The goal of this task is to discover the attitude or opinion of the tweets, which is typically fo...
Kun-Lin Liu, Wu-Jun Li, Minyi Guo
129
Voted
ACL
2012
13 years 4 months ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...