A Search Engine Result Information Categorization System Based on TFIDF
碩士 === 中國文化大學 === 資訊管理學系 === 98 === A search engine must provide quality information to its users whenever its users are seeking information on the internet. Many researchers have developed different search result information clustering algorithms to summarize searched information in order to fulfil...
Main Authors: | Peng Chin-Yi, 彭晴宜 |
---|---|
Other Authors: | Lee Chong-Yen |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/12577034867034383540 |
Similar Items
-
Sentiment analysis of Weibo based on TFIDF-NB algorithm
by: Yang Ge, et al.
Published: (2021-04-01) -
The estimation on SVM of classified TFIDF and entropy-statistics questions for example
by: SHENG-SHIANG HUANG, et al.
Published: (2011) -
Seleksi Fitur Bobot Kata dengan Metode TFIDF untuk Ringkasan Bahasa Indonesia
by: Ni Komang Widyasanti, et al.
Published: (2018-08-01) -
An extraction method of car styling requirements by integrating multi-feature TFIDF text analysis
by: Ji Caoting, et al.
Published: (2021-02-01) -
An efficient Map Reduce-Based Hybrid NBC-TFIDF algorithm to mine the public sentiment on diabetes mellitus – A big data approach
by: J. Ramsingh, et al.
Published: (2021-10-01)