基于在线评论的商业竞争情报自动获取

Automatic Acquisition of Business Competition Intelligence Based on Online Reviews

[目的/意义]探索从在线评论内容中提炼商业竞争情报的有效方法。[方法/过程]以大众点评网餐饮业的在线评论为研究数据,使用词向量Word2Vec结合依存句法分析进行领域特征词典构建和用户观点抽取,实现在线评论的特征主题凝聚及用户观点的情感计算。[结果/结论]实现了细粒度的竞争情报信息提取,竞争情报汇总及可视化,并将分析结果应用于商家自身优势分析和竞争对手分析。抽取算法能够从评论内容中自动提取用户观点的竞争情报,服务于商务领域的决策与管理。

[Purpose/Significance]This paper presents an effective way to achieve the automatic extraction of business competition intelligence from the contents of online reviews.[Method/Process]Using online reviews of the catering industry on Dianping.com as research data,the paper uses Word2Vec combined with the dependency parsing to extract users'opinions and carry out feature topic mapping and emotion calculation of users'viewpoints.[Result/Conclusion]The extraction algorithm proposed by this research can efficiently achieve fine-grained information extraction of competitive intelligence,competitive intelligence summary and visualization,so the resulting business competitive intelligence can be applied to the analysis of its own advantages and competitors'analysis.The algorithm can extract business competitive intelligence in users'viewpoints to facilitate decision-making and management in the commercial field.