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Research on strategies for enhancing drug knowledge dissemination on Chinese social media WeChat public accounts based on text mining technology. [PDF]

Front Pharmacol
Yu X, Chen X, Yan X, Wu X, Zhang Y, Luo X, Ma W, Fu H, Zhang Y.   +8 more
europepmc   +1 more source

Performance of Term Frequency - Inverse Document Frequency and K-Means in Government Service Identification

Term Frequency-Inverse Document Frequency (TF-IDF) is used to assess the importance of words in a document relative to the rest of the document set, while K-Means clusters documents based on content similarity.
Mahyuddin K M Nasution
exaly   +1 more source

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Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks

Applied Soft Computing Journal, 2020
Ankit Thakkar, Kinjal Chaudhari
exaly  

An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification

IEEE Access, 2021
Nur Syafiqah Mohd Nafis, Suryanti Awang
exaly  

A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation)

International Journal of General Systems, 2017
Vladik Kreinovich
exaly  

Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency

Journal of Computer and Communications, 2022
exaly  

Comparison of term frequency and document frequency based feature selection metrics in text categorization

Expert Systems With Applications, 2012
Nouman Azam, Jingtao Yao
exaly  

Term frequency – function of document frequency: a new term weighting scheme for enterprise information retrieval

Enterprise Information Systems, 2012
Deqing Wang
exaly