Đang chuẩn bị liên kết để tải về tài liệu:
Text classification based on support vector machine

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or text categorization. There are many methods of text classification, but for this paper we study and apply the Support Vector Machine (SVM) method and compare its effect with the Naïve Bayes probability method. In addition, before implementing text classification, we performed preprocessing steps on the training set by extracting keywords with dimensional reduction techniques to reduce the time needed in the classification process.

TÀI LIỆU LIÊN QUAN

Multilabel over - sampling and under - sampling with class alignment for imbalanced multilabel text classification

Text classification based on support vector machine

Báo cáo khoa học: "USING CLASSIFICATION TO GENERATE TEXT"

Báo cáo khoa học: " The Development of Lexical Resources for Information Extraction from Text Combining Word Net and Dewey Decimal Classification"

An investigation of Vietnamese document classification

Ebook Histology text and atlas (6th edition): Part 1

Fast and scalable neural embedding models for biomedical sentence classification

Using cited references to improve the retrieval of related biomedical documents

A recommender system based on one-class classification

Towards machine learning approaches to identify shrimp diseases based on description
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.