The use of inclusive language, among many other gender equality initiatives in society, has
garnered great attention in recent years. Gender equality offices in universities and public …

Categorisation of text document involves a great deal of information or features. Feature
selection is normally used to reduce the dimensionality of datasets that have a large number …

In this paper, a new idea is developed for improving the agent intelligence. In fact with the
presented convolutional neural network (CNN) approach for knowledge classification, the …

Data Mining is the technique of analyzing large amount of data to determine the relation
among large dataset. In this paper, we are discussing a new method for document …

Improving and maintaining the hospital service quality is considered a global concern.
Healthcare service providers widely use online patient feedback to measure and improve …

Text classification is the task of automatically sorting a set of documents into categories from
a predefined set. Text Classification is a data mining technique used to predict group …

The current communication of flood risk by government agencies and the scientific
community to the citizens living in the floodplain is ineffective. Using the Narrative Policy …

Increasing search for a journal article should be supported by appropriate journal articles
search results. Searching for appropriate journal articles can be done by grouping journal …

Sentiment analysis has become one of the most common method to classify stock market
behaviour. Moreover, sentiment analysis has gained a lot of importance in the last decade …

In this research work, four classifiers are adopted, analyzed, and discussed. The classifiers
are Naïve Bayes (NB), Support Vector Machine (SVM), Stochastic Gradient Descent (SGD) …