An Improved TFIDF Algorithm in Text Classification
2014 ◽
Vol 651-653
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pp. 2258-2261
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Keyword(s):
Term frequency/inverse document frequency (TF-IDF) is widely used in text classification at present, which is borrowed from Information Retrieval. Based on this conventional classical TF-IDF formula, we present a new TF-IDF weight schemes named CTF-IDF. The experiment shows that the improved method is feasible and effective. Furthermore, from the subsequent evaluations using 10-fold cross-validation, we can see the CTF-IDF greatly improves the accuracy of text classification.
2020 ◽
Vol 5
(3)
◽
pp. 229
2019 ◽
Vol 1
(1)
◽
pp. 43-49
Keyword(s):
2013 ◽
Vol 26
(3)
◽
pp. 728-741
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2020 ◽
Vol 2
(2)
◽
pp. 70
2020 ◽
Vol 1693
◽
pp. 012121
2020 ◽
Vol 9
(5)
◽
pp. 6939-6946
2021 ◽
Vol 8
(2)
◽
pp. 207
Keyword(s):