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implicit-aspect-identification's Introduction

Code and data for Non-negative Matrix Factorization for Implicit Aspect Identification

Requirements

  • NumPy = 1.15.3
  • stop_words
  • nltk

Read data

read datasets in /data/ by 'read_raw_text.py' and read datasets in /souce/ by 'read_semeval.py'

extract aspect and opinion words

extract dependency relations by 'dependency_parser.py' apply Double Propagation by 'double_propagation.py'

predition and identification

run 'nmf.py' to cluster aspects and predict the implicit aspect

implicit-aspect-identification's People

Contributors

nan0606 avatar

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