논문 ID: publication/3527808
Twitter Sentiment Analysis
원문 초록
In this report, address the problem of sentiment classification on the Twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on Kaggle public leaderboard.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Thumbs up? Sentiment Classification using Machine Learning Techniques
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
Quantum Graph Transformer for NLP Sentiment Classification
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Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
토론
이 논문과 연결된 포럼 글이 아직 없습니다.