Word Sense Disambiguation

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 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. This method acts as a lens that reads through a given word sequence using a knowledge base provided by an NLP library called WordHoard in order to detect negation signals.

• Category : Data Science / Machine Learning / Natural Language Processing / Research
• Date : January 3, 2023
• Client : Research Paper
• In 2022 6th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022), December 16–18, 2022, Bangkok, Thailand.