How to discover hotspot in the Internet public opinions effectively is a hot research field for the researchers related which plays a key role for governments and corporations to find useful information from mass data in the Internet. An improved K-means algorithm for hotspot discovery in internet public opinions is presented based on the analysis of existing defects and calculation principle o...

Text categorization (or supervised classification) generally addresses the topic or the type of a text. We tackle here a different dimension, the intended audience, contrasting two broad categories: texts intended for the general public, or texts intended for specialists. We test the categorization, according to this contrast, of Chinese Web pages about smoking. In this context, we obtain the f...

cohabitation, the roles of men and women in family life, parenthood and the relationship between family life and paid work. Scots family law has moved to recognise these changes, most recently with the Family Law (Scotland) Act 2006 and the Civil Partnership Act 2004. The Scottish Law Commission is reviewing the law of succession. Two recent Scottish surveys commissioned by the Scottish Executi...

humour is one of the richest literal kinds in literature including arabic literature. one of the remainded humorous texts in hamedani’s maghamat is redicule and its kinds regarded in this article for studying and shows that how and by using what skills hamedani as a popular humourist has been successful in making laugh and attracting the readers. his intelligent and sharp look in identifying ...

In this paper, we propose and evaluate approaches to categorizing Chinese texts, which consist of term extraction, term selection, term clustering and text classification. We propose a scalable approach which uses frequency counts to identify left and right boundaries of possibly significant terms. We used the combination of term selection and term clustering to reduce the dimension of the vect...

In this paper, we propose and evaluate approaches to categorizing Chinese texts, which consist of term extraction, term selection, term clustering and text classification. We propose a scalable approach which uses frequency counts to identify left and right boundaries of possibly significant terms. We used the combination of term selection and term clustering to reduce the dimension of the vect...

In this paper I plan to explore the relationship between critical approaches to literacy and the selection of EAP reading texts, taking Australia’s colonial and post-colonial society as an example of a theme around which discussion of text selection will revolve. Drawing, for example, on the writings of Benesch (1993, 1996) and Pennycook (1989, 1994, 1997), I suggest that by reconceptualising t...

Reading and understanding digital text that is organized in a non-linear hypertext format can be challenging for students as it requires a more self-directed selection of text pieces compared to reading linear texts. This study aims at investigating how individual differences in students’ skills in comprehending digital text can be explained by their navigation behavior and various underlying s...