… Text classification is an important task of data mining. … text classification cannot guarantee.
To solve the problem, this paper proposes a new text classification algorithm in Chinese text …

… In this paper, a new Fuzzy Similarity Based Concept Mining … , text classification algorithms
are booming up for word based representation of text documents and for text categorization. …

… is becoming a challenging and highly required area to capably categorize text documents …
various documents. In this paper, a technical review on various fuzzy similarity based models …

… and subdivision of the classification system. The contribution of this … similarity based on
string is simple and easy to implement. Apart from this, it can also have good results for some text …

… text classification performance is in full swing in that domain. In this paper, a cosine
similarity-based … The proposed methodology combines cosine similarity (between a test document …

… [11] proposed a phrase-based measure to compute the similarity based on the Suffix Tree
Document (STD) model. Similarity measures have been extensively used in text classification …

… , intelligent retrieval, document clustering and classification, word sense disambiguation …
classification of documents. This paper proposes an approach for web document classification …

… Search engines use text similarity for ranking the … technique defined as the intersection of
two sets divided by the union of two sets. It uses a lexical method that provides similarity based …

… a pairwise document classification task. We evaluate our aspect-based document similarity
for re… Our findings motivate future research of aspect-based document similarity and the …

… The scope of this work concentrates on promoting the performance of text clustering and
classification through a new measure along with a detailed comparative analysis for the …