Search Results - subject:"Text categorization"

Enhanced Filter Feature Selection Methods for Arabic Text Categorization

Ghareb, Abdullah Saeed; Abu Bakara, Azuraliza; … - In: International Journal of Information Retrieval Research … 8 (2018) 2, pp. 1-24

dimensional data into small relevant subset dimensions that represent the best features for text categorization. In this article … measures of text categorization, namely, macro-averaging of precision, recall, and F-measure. Experiments are conducted on … three Arabic text datasets used for text categorization. The experimental results showed that the proposed methods are able …

Persistent link: https://www.econbiz.de/10012045571

Alternative corporate governance : domestic media coverage of mergers and acquisitions in China

Borochin, Paul; Cu, Wei Hua - In: Journal of banking & finance 87 (2018), pp. 1-25

Persistent link: https://www.econbiz.de/10011962488

Principal component analysis for authorship attribution

Jamak, Amir; Savatić, Alen; Can, Mehmet - In: Business Systems Research 3 (2012) 2, pp. 49-56

Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts. The features extracted from texts are mostly the counts of so called function words....

Persistent link: https://www.econbiz.de/10010571477

Utilizing overtly political texts for fully automatic evaluation of political leaning of online news websites

Zhitomirsky-Geffet, Maayan; David, Esther; Koppel, Moshe; … - In: Online Information Review 40 (2016) 3, pp. 362-379

Purpose – Reliability and political bias of mass media has been a controversial topic in the literature. The purpose of this paper is to propose and implement a methodology for fully automatic evaluation of the political tendency of the written media on the web, which does not rely on...

Persistent link: https://www.econbiz.de/10014966854

Utilizing Facebook pages of the political parties to automatically predict the political orientation of Facebook users

David, Esther; Zhitomirsky-Geffet, Maayan; Koppel, Moshe; … - In: Online Information Review 40 (2016) 5, pp. 610-623

automatic text categorization algorithms to distinguish between texts of users from different political wings. However, these …

Persistent link: https://www.econbiz.de/10014967040

Chinese text categorization via bottom-up weighted word clustering

Wu, Yu-Chieh - In: International journal of enterprise information systems … 11 (2015) 1, pp. 50-61

Persistent link: https://www.econbiz.de/10010515432

A discriminative and semantic feature selection method for text categorization

Zong, Wei; Wu, Feng; Chu, Lap Keung; Sculli, Domenic - In: International journal of production economics 165 (2015), pp. 215-222

Persistent link: https://www.econbiz.de/10011309042

TEXT CATEGORIZATION USING ONLY FRAGMENTS OF DOCUMENTS

Pilaszy, Istvan; Dobrowiecki, Tadeusz - In: GAZDÁLKODÁS: Scientific Journal on Agricultural Economics 51 (2008) 19

In this paper we presented a lot of experiments that examine how the particular parts of the documents do contribute to the performance of a classifier. We evaluated text classifiers on two very different text corpora. We conclude that some parts of the text are more important from the point of...

Persistent link: https://www.econbiz.de/10008456861

Simple and efficient classification scheme based on specific vocabulary

Savoy, Jacques; Zubaryeva, Olena - In: Computational Management Science 9 (2012) 3, pp. 401-415

Assuming a binomial distribution for word occurrence, we propose computing a standardized Z score to define the specific vocabulary of a subset compared to that of the entire corpus. This approach is applied to weight terms (character n-gram, word, stem, lemma or sequence of them) which...

Persistent link: https://www.econbiz.de/10010995458