The speaker's garland and literary bouquet. v. 1-10. : Combining 100 choice selections, nos. 1-40. Embracing new and standard productions of oratory, sentiment, eloquence, pathos, wit, humor and amateur plays.

Comp. by Phineas Garrett.

Sentiment de Napoléon sur la divinité de Jésus-Christ.

At head of title: Fragments religieux inédits.

A sentiment in verse for every day in the year ...

Mode of access: Internet.

??cole Nationale d'Administration Publique: d??velopper les comp??tences des fonctionnaires pour augmenter la capacit?? de L'Etat dans la gestion des politiques publiques

Plus d???une vingtaine d???ann??es d???existence d??di??es ?? la mission de d??velopper les comp??tences des fonctionnaires pour augmenter la capacit?? de l?????tat dans la gestion des politiques publiques fait de l???ENAP un mod??le dans le domaine de la formation. Rattach??e au Minist??re du Plan, du Budget et de la Gestion, l?????cole, d??s sa cr??ation en 1986, a re??ue 245 mille fonctionnaires de tout le pays. En 2007, 26 mille fonctionnaires de l???administration f??d??rale ont attendu un de nos 60 stages offerts.

Sentiment analysis on twitter for the portuguese language

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

Investor sentiment and the cross-section of stock returns in the French stock market

Dissertação de mestrado em Finanças

Extensió de COMP Superscalar

COMPSs és un entorn de programació paral·lela desenvolupat per BSC-CNS. Aquest projecte busca estendre aquest entorn per tal de dotar-lo de funcionalitats inicialment no suportades. Aquest conjunt d’extensions radiquen principalment en la implementació de mecanismes que permetin incrementar la flexibilitat, robustesa i polivalència del sistema.