A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing

Izunna Okpala, Guillermo Romera Rodriguez, Andrea Tapia, Shane Halse, Jess Kropczynski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This study aims to demonstrate the methods for detecting negations in a sentence by uniquely evaluating the lexical structure of the text via word-sense disambiguation. The proposed framework examines all the unique features in the various expressions within a text to resolve the contextual usage of all tokens and decipher the effect of negation on sentiment analysis. The application of popular expression detectors skips this important step, thereby neglecting the root words caught in the web of negation and making text classification difficult for machine learning and sentiment analysis. This study adopts the Natural Language Processing (NLP) approach to discover and antonimize words that were negated for better accuracy in text classification using a knowledge base provided by an NLP library called WordHoard. Early results show that our initial analysis improved on traditional sentiment analysis, which sometimes neglects negations or assigns an inverse polarity score. The SentiWordNet analyzer was improved by 35%, the Vader analyzer by 20% and the TextBlob by 6%.

Original languageEnglish (US)
Title of host publicationNLPIR 2022 - 2022 6th International Conference on Natural Language Processing and Information Retrieval
PublisherAssociation for Computing Machinery
Pages36-43
Number of pages8
ISBN (Electronic)9781450397629
DOIs
StatePublished - Dec 16 2022
Event6th International Conference on Natural Language Processing and Information Retrieval, NLPIR 2022 - Bangkok, Thailand
Duration: Dec 16 2022Dec 18 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Natural Language Processing and Information Retrieval, NLPIR 2022
Country/TerritoryThailand
CityBangkok
Period12/16/2212/18/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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