ACL RD-TEC 1.0 Summarization of C04-1121
Paper Title:
SENTIMENT CLASSIFICATION ON CUSTOMER FEEDBACK DATA: NOISY DATA, LARGE FEATURE VECTORS, AND THE ROLE OF LINGUISTIC ANALYSIS
SENTIMENT CLASSIFICATION ON CUSTOMER FEEDBACK DATA: NOISY DATA, LARGE FEATURE VECTORS, AND THE ROLE OF LINGUISTIC ANALYSIS
Primarily assigned technology terms:
- classification
- classifier
- classifier combination
- classifiers
- cross validation
- cutoff
- language processing
- language processing system
- learning
- linguistic analysis
- machine learning
- natural language processing
- natural language processing system
- processing
- ranking
- sentence breaking
- sentiment classification
- style classification
- support vector machines
- tagging
- training process
- validation
- voting
Other assigned terms:
- 10-fold cross validation
- adjective
- annotator
- authorship
- authorship attribution
- case
- classification accuracy
- classification task
- classification tasks
- constituent structure
- correlations
- data set
- data sets
- declarative sentence
- dependency graphs
- distribution
- document
- fact
- feature
- feature set
- feature sets
- feature vector
- feature vectors
- function word
- human annotator
- hypothesis
- knowledge
- knowledge base
- lemma
- lexica
- likelihood
- likelihood ratio
- linguistic
- linguistic features
- logical form
- measure
- measures
- n-gram
- natural language
- noun phrase
- noun phrases
- null hypothesis
- parse
- parse tree
- part of speech
- part-of-speech
- phrase
- phrase structure
- phrase structure tree
- precision
- probability
- procedure
- process
- pronoun
- proposition
- random sample
- semantic
- semantic node
- semantic relations
- sentence
- sentiment
- speech information
- style
- support vector
- surface level
- terms
- test data
- test set
- text
- training
- training and test data
- training set
- transitivity
- tree
- verb
- verbal head
- verbal predicate
- word
- word frequencies
