ACL RD-TEC 1.0 Summarization of P04-1034
Paper Title:
THE SENTIMENTAL FACTOR: IMPROVING REVIEW CLASSIFICATION VIA HUMAN-PROVIDED INFORMATION
THE SENTIMENTAL FACTOR: IMPROVING REVIEW CLASSIFICATION VIA HUMAN-PROVIDED INFORMATION
Authors: Philip Beineke and Trevor Hastie and Shivakumar Vaithyanathan
Primarily assigned technology terms:
- artificial intelligence
- bayes classification
- bayes classifier
- browser
- classification
- classifier
- classifiers
- data analysis
- data collection
- estimation procedure
- fitting procedure
- information extraction
- internet
- learning
- learning method
- logistic regression
- machine learning
- matching
- maximum entropy
- model estimation
- modeling
- naive bayes
- naive bayes classification
- naive bayes classifier
- opinion extraction
- perl script
- predictor
- preprocessing
- regression
- review classification
- search
- search engine
- sentiment classification
- supervised method
- support vector machines
- text classification
- unsupervised method
- validation
Other assigned terms:
- anchor
- anchors
- approach
- bag of words
- bayes model
- case
- classification accuracy
- classification performance
- co-occurrence
- co-occurrences
- coefficient
- concept
- conditional distribution
- correlation
- correlations
- dictionary
- distribution
- document
- document sentiment
- entropy
- entropy models
- estimation
- feature
- feature set
- feature vector
- human understanding
- intelligence
- knowledge
- labeling
- linear combination
- maximum entropy models
- meaning
- meanings
- method
- model parameters
- model performance
- multinomial distribution
- naive bayes model
- norm
- opinion
- opinions
- part-of-speech
- passage
- phrase
- polarity
- posterior
- prior distribution
- probabilities
- probability
- probability model
- procedure
- proposition
- propositions
- punctuation
- punctuation marks
- queries
- query
- sentiment
- sources of information
- standard deviation
- support vector
- synonym
- synonyms
- term
- terms
- test data
- text
- text documents
- theorem
- thesaurus
- training
- training samples
- transformation
- understanding
- unlabeled corpus
- unlabeled examples
- word
- word type
- word types
- wordnet
- words
