ACL RD-TEC 1.0 Summarization of W04-3253
Paper Title:
SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINES WITH DIVERSE INFORMATION SOURCES
SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINES WITH DIVERSE INFORMATION SOURCES
Authors: Tony Mullen and Nigel Collier
Primarily assigned technology terms:
- 3-fold cross validation
- 5-fold cross validation
- annotation tool
- classification
- classification technique
- cross validation
- grouping
- internet
- kernel
- learning
- length normalization
- linear kernel
- machine learning
- measuring
- modeling
- normalization
- ontology forge annotation tool
- optimization
- polynomial kernel
- querying
- rating
- search
- search engine
- search engines
- segmentation
- semantic annotation
- sentiment analysis
- supervised learning
- support vector machines
- text classification
- validation
Other assigned terms:
- 10-fold cross validation
- adjective
- annotation
- approach
- bag of words
- case
- co-occurrence
- co-reference
- data sparseness
- dependency relations
- discourse
- explicit topic information
- fact
- feature
- feature set
- feature sets
- feature space
- feature types
- feature vector
- implementation
- information sources
- knowledge
- lemma
- meaning
- measure
- measures
- method
- mutual information
- ontology
- opinion
- parameter values
- part of speech
- part-of-speech
- phrase
- pointwise mutual information
- preposition
- probabilities
- probability
- punctuation
- query
- relation
- semantic
- semantic value
- sentence
- sentences
- sentiment
- sources of information
- supervised model
- support vector
- svm model
- svms
- synonymy
- technique
- term
- terms
- text
- text length
- tokens
- tone
- training
- training data
- unigram
- word
- wordnet
- words
