Titlebook: Web Information Systems and Technologies; 12th International C Valérie Monfort,Karl-Heinz Krempels,Paolo Traverso Conference proceedings 20

悅耳

Postulate

A Layered Architecture for Sentiment Classification of Products Reviews in Italian Language,per stratification of linguistic resources is adopted in order to solve the lacking of an opinion lexicon specifically suited for the Italian language. Experiments show that the proposed system can be applied to a wide range of domains.

Arable

說笑

How Reliable Is Sentiment Analysis? A Multi-domain Empirical Investigation, evaluate the success of an ad campaign. It can also be used to assess public opinions during a political campaign. As a result, many businesses and organizations are exploring the potential value of employing sentiment analysis as a part of their business and social intelligence strategies. However

頭盔

Delude

wreathe

Enabling End-Users to Individually Share Parts of Composite Web Applications,limited programming skills to build custom groupware applications for individual collaboration needs. Due to an increasing number of resources, APIs, and services within the web, creating new web applications nowadays can be simplified by just combining these atomic building blocks. Meanwhile, an in

NEXUS

Subtopic Ranking Based on Block-Level Document Analysis,ind their original query. Information on subtopics are useful for search systems to generate diversified search results. Search result diversification is important when there are multiple ways to interpret the submitted query. In search result diversification, it is important to rank subtopics by th

輕快帶來危險(xiǎn)

Improving Serendipity and Accuracy in Cross-Domain Recommender Systems,f items that share attributes and/or user ratings. Most works on this topic focus on accuracy but disregard other properties of recommender systems. In this paper, we attempt to improve serendipity and accuracy in the target domain with datasets from source domains. Due to the lack of publicly avail

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