The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …

With the rapid growth of textual content on the Internet, automatic text categorization is a
comparatively more effective solution in information organization and knowledge …

在特征选择过程中, 通过特征选择评估函数得到的词的权值大小决定该词是否作为特征词,
然而词的权值受多种因素影响, 主要因素有词的重要性, 特征性和代表性. 从以上几个因素出发 …

Outlier analysis has become a popular topic in the field of data mining but there have been
less work on how to detect outliers in web content. Mining Web Content Outliers is used to …

Data come from varying sources and given their increasing importance and relevance, they
are continuously being collected and stored in databases across the world. While traditional …

Opinion targets identification is an important task of the opinion mining problem. Several
approaches have been employed for this task, which can be broadly divided into two major …

Text data distribution is often imbalanced. Imbalanced data is one of the challenges in text
classification, as it leads to the loss of performance of classifiers. Many studies have been …

The primary software of herbal language processing is to analyse the author's sentiment via
context. This sentiment evaluation (SA) is said to determine the exactness of the underlying …

At present, most of the researches on feature selection do not consider the relevance
between a term and its own category, the redundancy among terms. In order to solve this …

Increasing growth of task-oriented texts specifically in organizations, have become a
catastrophe nowadays. To overcome this problem, potential classification methods are …