Review Essay of Y. Aboul-Enein, Militant Islamist Ideology: Understanding the Global Threat, Annapolis, Maryland: Naval Institute Press, 2013; J. Deol and Z. Kazmi, eds. Contextualising Jihadi Thought. Oxford: Oxford University Press, 2012; M. H. Hassan, The Father of Jihad:’Abd Allāh ‘Azzām’s Jihad ideas and Implications to National Security. London: Imperial College Press, 2014; J. Wagemakers, A Quietist Jihadi: The Ideology and Influence of Abu Muhammad al-Maqdisi. Cambridge, England and New York: Cambridge University Press, 2012; A. Moghadam and B. Fishman, eds., Fault lines in global jihad: Organizational, Strategic, and Ideological Fissures, New York and London: Routledge, 2013.

"Since an award is an indication that someone believes a book is superior or significant in some respect, knowledge of literary prizes is of obvious value to a librarian responsible for the selection of suitable books to meet patrons' needs and interests. With this in mind I have undertaken a study of the annual book award of the Friends of American Writers. The purpose of this paper is to describe the prize and the F.A.W. Award books since 1948, when a change in policy raised the annual book award to $1,000, to examine the prize-winning books in relation to the opinion of the critics, to determine the meaning of 'high ideals' as expressed by the group offering the award, and to find how the prize-winning selections are chosen"--Introduction. / Typescript. / "June, 1960." / "Submitted to the Graduate School of Florida State University in partial fulfillment of the requirements for the degree of Master of Arts." / Advisor: Sarah Rebecca Reed, Professor Directing Paper. / Includes bibliographical references (leaves 34-40).

Syftet med studien är att undersöka hur svensklärare på mellanstadiet arbetar med bokrecensioner i undervisningen, vad de anser att bokrecensioners syfte är samt vilka metoder de anser vara gynnsamma i arbetet. Detta är en kvalitativ studie där semistrukturerade intervjuer har genomförts med åtta lärare för att påvisa likheter och skillnader mellan deras olika arbetssätt och tankegångar. Efter genomförda intervjuer analyseras de utifrån en tematisk analys.Resultatet visar att lärarna har en övervägande positiv inställning till bokrecensioner. Dock förekommer det en tvetydighet bland dem, samtidigt som de menar att bokrecensioner är ett fördelaktigt moment som kan inkludera flera viktiga kunskapsutvecklande delar menar de också att momentet inte ska ta allt för stor plats i undervisningen då det finns andra saker som behöver mer utrymme. Syftet med bokrecensioner tycks inte vara att eleverna ska utveckla sina kunskaper kring bokrecension som genre utan de används mer som ett verktyg till att kontrollera elevernas läsförståelse och andra färdigheter. Resultatet visar också att särskilda metoder i själva verket sällan används i arbetet kring bokrecensioner eftersom syftet mer är av kontrollerande karaktär än utvecklande av elevernas genrekunskaper. / The purpose of the study is to examine how teachers at secondary school work with book reviews in their teaching, what they consider the intent of book reviews to be and what methods they consider to be favourable in the work. This is a qualitative study in which semi-structured interviews have been conducted with eight teachers to demonstrate similarities and differences between their different approaches and mindset. After the interviews have been transcribed, they are analysed on the basis of a thematic analysis.The results show that the teachers have a predominantly positive attitude towards book reviews. However, there is an ambiguity among them, while they consider that book reviews are a favourably element that can include several important knowledge development elements, they also consider that the element should not take up too much space in the teaching as there are other things that need more space. The idea of book reviews does not seem to be to develop students' knowledge of book reviewing as a genre, however they are used more as an implement to verify students' reading comprehension and other abilities. The results also show that specific methods are in fact barely used in the writing on book reviews because the intention is more of a controlling nature than developing students' genre knowledge.

Indiana University-Purdue University Indianapolis (IUPUI) / The classification of consumable media by mining relevant text for their identifying features is a subjective process. Previous attempts to perform this type of feature mining have generally been limited in scope due having limited access to user data. Many of these studies used human domain knowledge to evaluate the accuracy of features extracted using these methods. In this thesis, we mine book review text to identify nontrivial features of a set of similar books. We make comparisons between books by looking for books that share characteristics, ultimately performing clustering on the books in our data set. We use the same mining process to identify a corresponding set of characteristics in users. Finally, we evaluate the quality of our methods by examining the correlation between our similarity metric, and user ratings.

The aim of this study was to, through a qualitative method, investigate students’ participation in a specific library blog to find out what motivate them to create and share digital book recommendations through videos. It also intended to describe the students’ own views of their participation.We conducted interviews with eight students in the ages 12 and 13, who all had similar experiences regarding the blog creation but diverse attitudes concerning the blog production and intentions to participate.The results showed that the strongest motivating forces behind the students' participation in the blog creation was that they enjoyed the making of the videos and also because they wanted to inspire others to read more and create resembling blogs.

Dans cette thèse, nous abordons le problème de l'analyse des sentiments. Plus précisément, nous sommes intéressés à analyser le sentiment exprimé dans les textes de médias sociaux.Nous allons nous concentrer sur deux tâches principales: la détection de polarité de sentiment dans laquelle nous cherchons à déterminer la polarité (positive, négative ou neutre) d'un texte donné et l'extraction de cibles d’opinion et le sentiment exprimé vers ces cibles (par exemple, pour le restaurant nous allons extraire des cibles comme la nourriture, pizza, service). Notre principal objectif est de construire des systèmes à la pointe de la technologie qui pourrait faire les deux tâches. Par conséquent, nous avons proposé des systèmes supervisés différents suivants trois axes de recherche: l'amélioration de la performance du système par la pondération de termes, en enrichissant de la représentation de documents et en proposant un nouveau modèle pour la classification de sentiment.Pour l'évaluation, nous avons participé à un atelier international sur l'évaluation sémantique (Sem Eval), nous avons choisi deux tâches: l'analyse du sentiment sur Twitter dans laquelle nous déterminer la polarité d'un tweet et l'analyse des sentiments basée sur l’aspect dans laquelle nous extrayons les cibles d'opinion dans les critiques de restaurants, puis nous déterminons la polarité de chaque cible, nos systèmes ont été classés parmi les premiers trois meilleurs systèmes dans toutes les sous-tâches. Nous avons également appliqué nos systèmes sur un corpus des critiques de livres français construit par l'équipe Open Edition pour extraire les cibles d'opinion et leurs polarités. / In this thesis, we address the problem of sentiment analysis. More specifically, we are interested in analyzing the sentiment expressed in social media texts such as tweets or customer reviews about restaurant, laptop, hotel or the scholarly book reviews written by experts. We focus on two main tasks: sentiment polarity detection in which we aim to determine the polarity (positive, negative or neutral) of a given text and the opinion target extraction in which we aim to extract the targets that the people tend to express their opinions towards them (e.g. for restaurant we may extract targets as food, pizza, service).Our main objective is constructing state-of-the-art systems which could do the two tasks. Therefore, we have proposed different supervised systems following three research directions: improving the system performance by term weighting, by enriching the document representation and by proposing a new model for sentiment classification. For evaluation purpose, we have participated at an International Workshop on Semantic Evaluation (SemEval), we have chosen two tasks: Sentiment analysis in twitter in which we determine the polarity of a tweet and Aspect-Based sentiment analysis in which we extract the opinion targets in restaurant reviews, then we determine the polarity of each target. Our systems have been among the first three best systems in all subtasks. We also applied our systems on a French book reviews corpus constructed by OpenEdition team for extracting the opinion targets and their polarities.

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