Introduction Online reviews have become an important source of information for
investigating customers' consumption experiences in academic studies. In the context of …

Multinomial naive Bayes (MNB) assumes that all attributes (ie, features) are independent of
each other given the context of the class, and it ignores all dependencies among attributes …

Within text categorization and other data mining tasks, the use of suitable methods for term
weighting can bring a substantial boost in effectiveness. Several term weighting methods …

In text analysis tasks like text classification and sentiment analysis, the careful choice of term
weighting schemes can have an important impact on the effectiveness. Classic …

In the context of information retrieval (IR) from text documents, the term weighting scheme
(TWS) is a key component of the matching mechanism when using the vector space model …

Abstract Information retrieval of text document requires a method that is able to restore a
number of documents that have high relevance according to the user's request. One …

Term weighting is a useful technique that extracts important features from textual documents,
thereby providing a basis for different text mining approaches. While several term weighting …

It has become evident that term weighting has a significant effect on relevant document
retrieval for which various methods are proposed. However, the main question that arises is …

Sistem temu kembali dokumen teks membutuhkan metode yang mampu mengembalikan
sejumlah dokumen yang memiliki relevansi tinggi sesuai dengan permintaan pengguna …

Internet based news documents are the basic information transmission media. In such a
case detecting hot topics and tracking the event development is most important. However, it …