Affective Computing and Sentiment Analysis
Affective Computing and Sentiment Analysis
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DOI：
10.1007/978-3-319-55394-8_1
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发表时间：
2017-01-01
期刊：
影响因子：
--
通讯作者：
Feraco, Antonio
中科院分区：
文献类型：
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作者：
Cambria, Erik;Das, Dipankar;Feraco, Antonio
理解情绪是个人发展和成长中最重要的方面之一，因此，它是模仿人类智能的关键。情绪处理除了对人工智能的发展很重要外，对与之密切相关的极性检测任务也很重要。事实上，自动捕捉公众对社会事件、政治运动、营销活动和产品偏好的情绪的机会，已经引起了科学界对令人兴奋的公开挑战和商业世界对营销和金融市场预测的显著影响的越来越大的兴趣。这导致了情感计算和情感分析等新兴领域的出现，这些领域利用人机交互、信息检索和多模态信号处理，从不断增长的在线社交数据中提取人们的情感。
Understanding emotions is one of the most important aspects of personal development and growth and, as such, it is a key tile for the emulation of human intelligence. Besides being a important for the advancement of AI, emotion processing is also important for the closely related task of polarity detection. The opportunity automatically to capture the sentiments of the general public about social events, political movements, marketing campaigns, and product preferences, in fact, has raised increasing interest both in the scientific community, for the exciting open challenges, and in the business world, for the remarkable fallouts in marketing and financial market prediction. This has led to the emerging fields of affective computing and sentiment analysis, which leverage on human-computer interaction, information retrieval, and multimodal signal processing for distilling people's sentiments from the ever-growing amount of online social data.