ACL RD-TEC 1.0 Summarization of E06-1025
Paper Title:
DETERMINING TERM SUBJECTIVITY AND TERM ORIENTATION FOR OPINION MINING
DETERMINING TERM SUBJECTIVITY AND TERM ORIENTATION FOR OPINION MINING
Authors: Andrea Esuli and Fabrizio Sebastiani
Primarily assigned technology terms:
- algorithm
- binary classification
- binary classifier
- bootstrapping
- classification
- classifier
- classifiers
- clustering
- clustering algorithm
- computational linguistics
- computing
- feature selection
- indexing
- kernels
- learner
- learning
- learning approaches
- learning process
- matching
- mining
- naive bayesian
- orientation detection
- quantification
- querying
- reporting
- scoring
- search
- search engine
- semi-supervised learning
- supervised learner
- supervised learning
- support vector machines
- tagging
- text indexing
Other assigned terms:
- approach
- benchmark
- bias
- case
- cluster
- co-occurrence
- concept
- correlation
- dictionaries
- document
- document set
- evaluation measures
- evaluation methodology
- fact
- feature
- general-purpose lexicon
- generalization hierarchy
- hyponyms
- hyponymy
- hypothesis
- inter-coder agreement
- lexical relations
- lexical resource
- lexical resources
- lexicon
- linguistic
- linguistic constraints
- linguistics
- meaning
- measure
- measures
- method
- methodology
- multinomial model
- mutual information
- negation
- nouns
- opinion
- opinions
- pointwise mutual information
- precision
- probabilities
- process
- query
- relation
- representations
- seed
- seed term
- semantic
- semantic association
- sentence
- standard benchmark
- standard deviation
- subjective nouns
- subjectivity
- support vector
- svms
- synonyms
- synonymy
- technology
- term
- term orientation
- term subjectivity
- terms
- test data
- test set
- text
- text collection
- training
- training data
- training documents
- training examples
- training phase
- training set
- word
- wordnet
- words
