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Online investigation of users’ attitudes using automatic question answering

With the development of the Internet, huge numbers of reviews are generated, disseminated, and shared on e-commerce and social media websites by Internet users. These reviews usually indicate users’ opinions about products or services directly, and are thus valuable for efficient marketing. The purpose of this paper is to mine online users’ attitudes from a huge pool of reviews via automatic question answering.

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