ACL RD-TEC 1.0 Summarization of P06-2063
Paper Title:
AUTOMATIC IDENTIFICATION OF PRO AND CON REASONS IN ONLINE REVIEWS
AUTOMATIC IDENTIFICATION OF PRO AND CON REASONS IN ONLINE REVIEWS
Authors: Soo-Min Kim and Eduard Hovy
Primarily assigned technology terms:
- binary classification
- classification
- computational linguistics
- data annotation
- database
- document summarization
- entropy classification
- feature selection
- identification
- identification system
- information extraction
- internet
- language processing
- learning
- learning techniques
- machine learning
- machine learning techniques
- maximum entropy
- maximum entropy model
- modeling
- natural language processing
- normalization
- opinion analysis
- processing
- question answering
- reason identification
- recognition
- recognition system
- review classification
- semantic role labeling
- sentence identification
- sentence recognition
- sentiment classification
- summarization
- word sentiment classification
Other assigned terms:
- annotation
- annotator
- annotators
- approach
- association for computational linguistics
- classification task
- computational model
- conditional probability
- data set
- document
- document level opinion
- entropy
- entropy models
- events
- experimental results
- f-score
- fact
- feature
- feature vector
- french
- gold standard
- human annotators
- hypothesis
- identification task
- kappa
- kappa value
- keyword
- labeling
- lexical features
- lexical items
- linguistics
- maximum entropy models
- meaning
- measure
- method
- natural language
- news corpus
- normalization factor
- opinion
- opinions
- paragraph
- phrase
- precision
- probability
- role labeling
- semantic
- semantic categories
- semantic role
- sentence
- sentence level
- sentences
- sentiment
- symbols
- synonyms
- system development
- system performance
- tags
- technique
- test set
- text
- toolkit
- topics
- trained model
- training
- training data
- training set
- word
- word features
- word level
- wordnet
- words
