Описание: Tomaz Aquino de Braganca, a close adviser to former Mozambican president Samora Machel, dedicated his life to the liberation struggles of southern Africa. Marco Mondaini and Colin Darch present a selection of Aquino`s postindependence writings and interviews, many published here in English for the first time.
Автор: Richard C. Eichenberg Название: Gender, War, and World Order: A Study of Public Opinion ISBN: 1501738143 ISBN-13(EAN): 9781501738142 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6765.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Motivated by the lack of scholarly understanding of the substantial gender difference in attitudes toward the use of military force, Richard C. Eichenberg has mined a massive data set of public opinion surveys to draw new and important conclusions. By analyzing hundreds of such surveys across more than sixty countries, Gender, War, and World Order offers researchers raw data, multiple hypotheses, and three major findings.
Eichenberg poses three questions of the data: Are there significant differences in the opinions of men and women on issues of national security? What differences can be discerned across issues, culture, and time? And what are the theoretical and political implications of these attitudinal differences? Within this framework, Gender, War, and World Order compares gender difference on military power, balance of power, alliances, international institutions, the acceptability of war, defense spending, defense/welfare compromises, and torture. Eichenberg concludes that the centrality of military force, violence, and war is the single most important variable affecting gender difference; that the magnitude of gender difference on security issues correlates with the economic development and level of gender equality in a society; and that the country with the most consistent gender polarization across the widest range of issues is the United States.
Описание: In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document.
However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus.
It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic).
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