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 sentiment analysis is considered necessary in the e-commerce field, and advantageous
to businesses, governments and individuals. Nowadays public would purchase stuff from …

Classification is a specific term in knowledge engineering and data mining. In learning
techniques, classification gives an algorithmic process for creating a given input data into …

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 …

This article presents the results of the development and research of an intellectual system of
textual content subject estimation automatization based on the application of machine …

The reviews of the customers play a significant role to determine the purchase behavior in
case of online shopping since the buyers generally prefer to buy a product depending on the …

Uno de los procesos de mayor importancia en la exploración y explotación de
hidrocarburos es la perforación de pozos. Los costos asociados al proceso son muy altos …

The main goal of this dissertation is to put different text classification tasks inthe same frame,
by mapping the input data into the common vector space of linguisticattributes …

Text categorization, namely text classification aims to predict the predefined labels (moods,
subjects, etc.) of the given documents. It has been so difficult to categorize the text data in …

Text summarization from multiple documents is an active research area in the current
scenario as the data in the World Wide Web (WWW) is found in abundance. The text …