论文标题
Araacom：阿拉伯阿尔及利亚语料库以挖掘
ARAACOM: ARAbic Algerian Corpus for Opinion Mining
论文作者
论文摘要
如今，不再需要做出巨大的努力来向数千人分发很多形式并收集它们，然后将其从电子格式转换为电子格式，以跟踪人们对某些主题的看法。如今，许多网站都可以以更少的精力达到很大的范围。大多数网站建议他们的访问者留下有关他们对网站或活动的感觉的备份。因此，这使我们很多数据都需要强大的含义来利用。由于人们对个人和社会的需求越来越多，在网络上开采的意见越来越引人入胜，以追踪人们的情绪与日常生活的几个主题（体育，政治，电视，...）。许多意见挖掘的作品是用西方语言尤其是英语开发的，阿拉伯语的这类作品仍然非常稀缺。在本文中，我们提出了我们的方法，以供阿拉伯阿尔及利亚新闻报纸采矿。 CCS概念$ \ bullet $信息系统〜情感分析$ \ bullet $计算方法〜自然语言处理
Nowadays, it is no more needed to do an enormous effort to distribute a lot of forms to thousands of people and collect them, then convert this from into electronic format to track people opinion about some subjects. A lot of web sites can today reach a large spectrum with less effort. The majority of web sites suggest to their visitors to leave backups about their feeling of the site or events. So, this makes for us a lot of data which need powerful mean to exploit. Opinion mining in the web becomes more and more an attracting task, due the increasing need for individuals and societies to track the mood of people against several subjects of daily life (sports, politics, television,...). A lot of works in opinion mining was developed in western languages especially English, such works in Arabic language still very scarce. In this paper, we propose our approach, for opinion mining in Arabic Algerian news paper. CCS CONCEPTS $\bullet$Information systems~Sentiment analysis $\bullet$ Computing methodologies~Natural language processing
