Comparative Study of Traditional Machine Learning and Quantum Computing in Natural Language Processing: A Case Study on Sentiment Analysis
Yang Li, Thatsanee Charoenporn, Virach Sornlertlamvanich · 2024
This research paper primarily investigates the application and performance of traditional machine learning and quantum computing in Natural Language Processing (NLP), with a focus on sentiment analysis tasks. By comparing the accuracy, efficiency, and scalability of these two technologies, the study aims to reveal the potential of quantum computing in handling complex NLP tasks and to provide data support for future technology choices and research directions. The paper also details the use of 1M DB and NLTK movie review datasets for experiments and discusses the experimental design, performance evaluation results, and technical challenges faced by both methods.