Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation.
Jordan L. Boyd-GraberPhilip ResnikPublished in: EMNLP (2010)
Keyphrases
- latent dirichlet allocation
- sentiment analysis
- cross lingual
- text mining
- topic models
- sentiment classification
- text classification
- topic modeling
- opinion mining
- lda model
- generative model
- sentence level
- semi supervised
- weakly supervised
- supervised learning
- gibbs sampling
- cross language
- machine learning
- feature selection
- natural language processing
- machine translation
- unsupervised learning
- machine translation system
- word alignment
- language modeling
- text documents
- learning algorithm
- probabilistic topic models
- information retrieval
- knowledge discovery
- target language
- sentiment lexicon
- latent variables
- training data
- support vector
- high dimensional
- active learning
- information extraction
- text categorization
- named entities
- real world
- retrieval model
- document clustering