消费意图是指用户在文本中明确表达出的购买产品或服务等一些商业消费的意愿,如“想买一部手机”。该文针对微博上的消息文本,提出一种基于用户自然标注的微博消费意图识别方法。该方法将微博消费意图识别看作为领域自适应学习问题,通过自动获取的训练语料基于源域和目标域共同特征设计分类器,抽取置信度高的伪标注消费意图微博,再利用微博特征训练新的分类器对微博进行消费意图识别。实验结果表明该文所采用的方法是有效的,F值达到69%和77%,其中使用的各种特征对于提高消费意图识别的效果皆有帮助。
Abstract
Consumption Intent refers to an exact indication of an immediate or future purchase in microblog. For example, a post like “I want to buy a mobile phone” indicates a buying intention. The paper proposes to study the problem of identifying consumption intent in microblogs based on user naturally annotated resources. Specifically, the proposed method recasts consumption intent recognition as a domain adaptation problem, and presents an approach utilizing automatic acquisition of large text corpora for classification. First, we look for a set of common features generalizable across domain adaptation, and then we extract the high confidence of pseudo annotation samples. Finally, we pick up useful features specific to the target domain. Experimental results show that the proposed method is effective for consumption intent recognition, achieving 69% and 77% in F-value, respectively. And, the features adopted are all contributive to the performance.
关键词
消费意图 /
自然标注 /
社会媒体 /
领域自适应
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Key words
consumption intent /
naturally annotated /
social media /
domain adaptation
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参考文献
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脚注
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基金
国家青年科学基金(61202277);国家自然科学基金(61170144,61472107)
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