ACL RD-TEC 1.0 Summarization of P05-2008
Paper Title:
USING EMOTICONS TO REDUCE DEPENDENCY IN MACHINE LEARNING TECHNIQUES FOR SENTIMENT CLASSIFICATION
USING EMOTICONS TO REDUCE DEPENDENCY IN MACHINE LEARNING TECHNIQUES FOR SENTIMENT CLASSIFICATION
Primarily assigned technology terms:
- bayes classifier
- classification
- classifier
- classifiers
- computational linguistics
- corpus construction
- crossvalidation
- database
- internet
- learning
- learning techniques
- machine learning
- machine learning techniques
- machine-learning
- matching
- maximum entropy
- optimisation
- sentiment analysis
- sentiment classification
- spelling
- statistical testing
- support vector machine
- support vector machines
- svm classifier
- text classification
- training process
Other assigned terms:
- anchors
- annotators
- approach
- association for computational linguistics
- case
- characters
- context size
- data sets
- distribution
- document
- emotion
- entropy
- feature
- feature types
- implementation
- linguistics
- measure
- message
- named entities
- noise
- nouns
- opinions
- paragraph
- paragraphs
- parameter settings
- part-ofspeech
- polarity
- procedure
- process
- semantic
- sentiment
- set size
- standard deviation
- style
- support vector
- svms
- technology
- terms
- test data
- test set
- text
- tokens
- topics
- training
- training and test data
- training data
- training examples
- training set
- training set size
- understanding
- unigram
- word
- words
