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Article
Publication date: 15 March 2013

Zied Kechaou, Ali Wali, Mohamed Ben Ammar, Hichem Karray and Adel M. Alimi

Despite the actual prevalence of diverse types of multimedia information, research on video news is still in an early stage. Improving the accessibility of video news seems worth…

Abstract

Purpose

Despite the actual prevalence of diverse types of multimedia information, research on video news is still in an early stage. Improving the accessibility of video news seems worth investigating, therefore, the purpose of this paper is to present a new combination mode of video news text clustering and selection. This method is useful for sorting out and classifying various types of news videos and media texts based on sentiment analysis.

Design/methodology/approach

A novel system is proposed, whereby video news are identified and categorized into good or bad ones via the authors' suggested Hidden Markov Model (HMM) and Support Vector Machine (SVM) hybrid learning method. Actually, an exploratory video news sentiment analysis case study, conducted on various news databases, has proven that the feature‐selection‐combining method, encompassing the Information Gain (IG), Mutual Information (MI) and CHI‐statistic (CHI), performs the best classification, which testifies and highlights the designed framework's value.

Findings

In fact, the system turns out to be applicable to several areas, especially video news, where annotation and personal perspectives affect the accuracy aspect.

Research limitations/implications

The present work shows the way for further research pertaining to the personal attitudes and the application of different linguistic techniques during the classification.

Originality/value

The achieved results are so promising, encouraging and satisfactory, that they highlight the originality and efficiency of the authors' approach as an effective tool enabling to secure an easy access to video news and multi‐media texts.

Details

Journal of Systems and Information Technology, vol. 15 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

Book part
Publication date: 7 October 2019

Michelle I. Gawerc

Social movement scholarship convincingly highlights the importance of threats, political opportunities, prior social ties, ideological compatibility, and resources for coalition…

Abstract

Social movement scholarship convincingly highlights the importance of threats, political opportunities, prior social ties, ideological compatibility, and resources for coalition formation. Based on interviews with Palestinian, Israeli, and international activists involved in two transnational coalitions in Israel/Palestine, this chapter illustrates the emergence of transnational coalitions, particularly those that cross polarized ethno-national divides, depends not only on such facilitators, but also, and critically, on the belief that such diverse cooperation is strategic. I argue these unique coalitions intentionally formed with individuals and organizations situated in different national communities out of a strategic decision by the Palestinian initiators, given the closed political opportunity structure they faced domestically, to enlarge the scope of conflict by drawing in new people and communities who may have some leverage on the Israeli government. Consequently, this chapter also makes clear that partners in the Global South make intentional choices about who to partner with, and that the agency is not solely linked with their more privileged partners in the Global North (cf., Bob, 2001; Widener, 2007). Finally, it illustrates that coalition partners are recruited not only because of social ties, prior histories of interaction, ideological similarity, and shared organizational framing, but also due to key considerations including perceptions of what the ethno-national diversity, varying networks, and differing privileges make available.

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