About this document
Movie Review Sentiment Analysis SVM by mcanarender is a document available to read on EtoBox.
The document outlines a project to classify movie reviews as positive or negative using Support Vector Machine (SVM) with a dataset from IMDb. It details the steps of loading and preprocessing the data, performing text preprocessing, training the SVM classifier, and experimenting with feature extraction techniques like TF-IDF and Word2Vec. The results indicate that both methods achieved high accuracy, with Word2Vec slightly outperforming TF-IDF due to its ability to capture semantic relationships.
- Author
- mcanarender
- Language
- EN