Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

Organizations are increasingly interested in classifying texts or parts thereof into categories,
as this enables more effective use of their information. Manual procedures for text …

Preprocessing is one of the key components in a typical text classification framework. This
paper aims to extensively examine the impact of preprocessing on text classification in terms …

Cosine similarity is one of the most popular distance measures in text classification
problems. In this paper, we used this important measure to investigate the performance of …

Owing to the rapid growth of the World Wide Web, the number of documents that can be
accessed via the Internet explosively increases with each passing day. Considering news …

Twitter text messages are very noisy. Moreover, tweet data are unstructured and
complicated enough. The focus of this work is to investigate pre-processing technique for …

Fake news detection research is still in the early stage as this is a relatively new
phenomenon in the interest raised by society. Machine learning helps to solve complex …

The problem of text classification is the process of supervised assignment of text documents
to one or more predefined categories or classes according to the content of the processed …

Las técnicas de aprendizaje de máquina continúan siendo muy utilizadas para la minería
de texto. Para este artículo se realizó una revisión de literatura en periódicos científicos …

As the insulting statements increase on the online platform, these negative statements
create a reaction and disturb the peace of society. Offensive language detection research …