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》》Model for Improving Relevant Feature Extraction for Opinion Summarization

Last updated at 2017-11-10Posted at 2017-11-10

GENERAL

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MPSTME Mumbai, India
IACC 2015 (IEEE International Advance Computing Conference) (no rank conference)
Personal evaluation: not much insights about machine learning, but more details about preprocessing and feature generation rules
Valuable points
- Details about pre-processing before feature extraction
  - removal of URL, HTML tags, special symbols, stop words and repeated words
  - handle abbreviations
  - determine boundary of sentences
- Multi-step feature extraction
  - automatic rule generation
  - threshold to filter infrequent
  - manually? filter in-relevant rules
Effectiveness
- reduce the size of feature set a lot