There is an urgent need for urban tree classification, in order to assist with ecological
environment protection and provide sustainable development guidance for urban planners …

Customer feedback is one of the most critical parameters that determine the market
dynamics of product development. In this direction, analyzing product-related complaints …

Dimensionality reduction of feature vector size plays a vital role in enhancing the text
processing capabilities; it aims in reducing the size of the feature vector used in the mining …

The performance of emotive text classification using affective hierarchical schemes (eg,
WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the …

In text classification, texts have to be transformed into numeric representations suitable for
the learning algorithms. A main problem with the commonly used bag of words method is the …

A massive of text that is generated every minute is increasing dramatically. Therefore, it is
more and more important to find an effective model to automatic classify the amount of text …

Feature selection is one of the well known solution to high dimensionality problem of text
categorization. In text categorization, selection of good features (terms) plays a very …

Sentiment analysis is a Natural Language Processing (NLP) task concerned with opinions,
attitudes, emotions, and feelings. It applies NLP techniques for identifying and detecting …

Naive Bayes is very popular in commercial and open-source anti-spam e-mail filters. There
are, however, several forms of Naive Bayes, something the anti-spam literature does not …

Selection of highly discriminative feature in text document plays a major challenging role in
categorization. Feature selection is an important task that involves dimensionality reduction …