Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: In the context of information explosion, sentiment analysis of works is crucial to content processing and value mining. This paper proposes a sentiment analysis algorithm based on multimodal ...

🎬 Binary Sentiment Analysis on the IMDB 50K dataset. A classic NLP pipeline utilizing NLTK for preprocessing, TF-IDF for vectorization, and Logistic Regression for high-accuracy text classification.

An end-to-end NLP pipeline that classifies text from three distinct domains into a 5-level sentiment scale (Very Negative to Very Positive). The project compares classical ML approaches (SVM, XGBoost) ...