Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …

The effective representation of the relationship between the documents and their contents is
crucial to increase classification performance of text documents in the text classification …

Text classification is one of the popular high dimensional classification problems where
providing better feature vector representations explicitly improve classification …

Although words are basic semantic units in text, phrases, and expressions contain additional
information, which is important for text classification. To capture this information, traditional …

The performance of text classification can be affected by the choice of appropriate term
weighting scheme as well as other parameters. The terminology supervised term weighting …

History reveals that human societies have suffered in terms of social justice due to cognitive
bias. Semantic bias tends to amplify cognitive bias. Therefore, the presence of cognitive …

The increased volume of data due to advancements in the internet and relevant technology
makes text classification of text documents a popular demand. Providing better …

In this paper, we report preliminary results that have enormous potential in text mining
research. Logistic regression is a well-known and reliable prediction tool in Pattern …

Text categorization is a text mining process and it aims to discover relevant information and
relationship in a huge amounts of text data. Feature extraction is an important preprocessing …

Writer identification is an interesting research area in many languages. Since each
language has its own pattern, the writer identification methods are language dependent. In …