ACL RD-TEC 1.0 Summarization of W06-1652
Paper Title:
FEATURE SUBSUMPTION FOR OPINION ANALYSIS
FEATURE SUBSUMPTION FOR OPINION ANALYSIS
Authors: Ellen Riloff and Siddharth Patwardhan and Janyce Wiebe
Primarily assigned technology terms:
- algorithm
- classi cation
- classi er
- computational linguistics
- cross-validation
- database
- feature representation
- feature selection
- information extraction
- internet
- kernel
- language processing
- learning
- learning algorithm
- linear kernel
- machine learning
- machine learning algorithm
- natural language processing
- np extraction
- opinion analysis
- opinion detection
- parser
- processing
- recommender
- sentiment analysis
- shallow parser
- verb phrases
Other assigned terms:
- adjective
- adverbial phrase
- approach
- argumentation
- association for computational linguistics
- bigram
- case
- classi cation task
- correlation
- data set
- data sets
- dependency link
- determiner
- document
- english language
- experimental results
- extraction patterns
- f-measure
- feature
- feature set
- feature sets
- hypothesis
- information gain
- internet movie database
- lexical features
- lexical resources
- lexicon
- linguistics
- main verb
- meaning
- meanings
- metadata
- natural language
- ngram
- noun phrase
- noun phrases
- opinion
- opinions
- penn treebank
- phrase
- polarity
- preposition
- process
- representations
- sentence
- sentences
- sentiment
- statistics
- subjectivity
- subsumption
- subsumption hierarchy
- syntactic relationship
- tags
- terms
- text
- text corpus
- training
- training set
- treebank
- unigram
- verb
- verb constituent
- verb phrase
- word
- word sequence
- words
