The ability to exploit public sentiment in social media is increasingly considered as an
important tool for market understanding, customer segmentation and stock price prediction …

Most of the previous studies related on different term weighting emphasize on the document-
indexing-based and four fundamental information elements-based approaches to address …

News recommendation and user interaction are important features in many Web-based
news services. The former helps users identify the most relevant news for further information …

As this whole world is gradually digitized in every aspects, there is an exponential increase
of amount of data in every fields. Retrieving valuable information from this unstructured …

Evidence-based medicine has recently received a large amount of attention in medical
research. To help clinical practices use evidence-based medicine, it should be easy to find …

The false information or misinformation over the web has severe effects on people, business
and society as a whole. Therefore, detection of misinformation has become a topic of …

A well-known classification problem in the domain of text mining is text classification, which
concerns about mapping textual documents into one or more predefined category based on …

In this paper, we propose a hybrid approach of Arabic scripts web page language
identification based on decision tree and ARTMAP approaches. We use the decision tree …

This research note focuses on some of the opportunities provided by the statistical analysis
of textual data, by illustrating examples of the use of lexicon-based quantitative measures …

将文本分类技术引入文化旅游文本研究, 根据文化旅游文本的特点, 提出一种基于朴素贝叶斯的
文化旅游文本分类模型. 首先构建文化专题词库, 采用向量空间模型将景点描述文本转换为向量 …