Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection
Saved in:
Main Authors: | Fei Wang, Robert J. Ross, John D. Kelleher |
---|---|
Format: | Article |
Language: | English |
Published: |
The MIT Press
2022-10-01
|
Series: | Computational Linguistics |
Online Access: | http://dx.doi.org/10.1007/978-981-15-6168-9_18 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of an Improved TF-IDF Method in Literary Text Classification
by: Lin Xiang
Published: (2022-01-01) -
Research on Text Similarity Measurement Hybrid Algorithm with Term Semantic Information and TF-IDF Method
by: Fei Lan
Published: (2022-01-01) -
Automatic question-answering modeling in English by integrating TF-IDF and segmentation algorithms
by: Hainan Wang
Published: (2024-12-01) -
Perbandingan Metode Pembobotan Tf-Rf Dan Tf-Idf Dikombinasikan Dengan Weighted Tree Similarity Untuk Sistem Rekomendasi Buku
by: Yuslena Sari, et al.
Published: (2022-12-01) -
TF-IDF combined rank factor Naive Bayesian algorithm for intelligent language classification recommendation systems
by: Yonglian Luo, et al.
Published: (2024-12-01)