Social Opinion Mining: An Approach for Italian Language

Vito Santarcangelo, Giuseppe Oddo, Maria Pilato, Fabrizio Valenti, C. Fornaro
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引用次数: 10

Abstract

Opinion Mining or Sentiment Analysis is an important Computer Science topic, that allows the discovery of the web user's attitude on one or more topics. Marketing, Social Engineering and Information Retrieval are achieved through the application of Opinion Mining on Web Data. Today Social Networks represent one of the most important places on the web for sharing information, media and opinions (26% of people have accounts on Social Networks). Integration with the opinions on social networks and social communities can improve the relevancy and quality of Opinion Mining Tools. This paper discusses how Social Networks Mining represents one of the most important tasks for Opinion Mining Systems, considering the state of art literature. Then, we will show an interesting approach based on ADJECTIVES (A), INTENSIFIERS (I) and NEGATIONS (N) (called AIN) developed for Italian. This approach is based on the use of an Italian Sentiment Thesaurus (AIN Thesaurus), developed by the authors and presented in this work.
社会舆论挖掘:意大利语的一种方法
观点挖掘或情感分析是一个重要的计算机科学主题,它允许发现网络用户对一个或多个主题的态度。通过对Web数据进行意见挖掘,实现了市场营销、社会工程和信息检索。如今,社交网络是网络上分享信息、媒体和观点的最重要场所之一(26%的人拥有社交网络账户)。与社会网络和社会社区的意见整合可以提高意见挖掘工具的相关性和质量。本文讨论了社会网络挖掘如何代表意见挖掘系统最重要的任务之一,考虑到艺术文献的状态。然后,我们将展示一种基于形容词(A)、强化词(I)和否定词(N)(称为AIN)为意大利语开发的有趣方法。这种方法是基于使用意大利语情感同义词典(AIN Thesaurus),由作者开发并在本工作中提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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