摘要
以物流专业论坛的交流信息内容作为研究对象,利用语义处理技术构建了反映某类产品的物流人员的工作繁忙程度和情绪状态高低的物流人员情绪综合指标;选取该行业产品的多个生产企业的股票走势合成一个股票指数,通过实证方法检验了同一产品行业的物流人员情绪指标对该类产品生产企业的股票走势具有预测能力.研究表明,情绪指数的波动趋势常常比相应股票综合指数的波动趋势提前40周呈现一致.
Taking the exchange of information contents on the professional forum for logistics as the research object,the semantic processing technology was used to construct a comprehensive index for the logistics personnel's emotion,which reflects the busy degree of logistics personnel and the level of emotional state of a product.Meanwhile,the stock movements of a number of manufacturing enterprises of the products of a certain kind of industry were selected to synthesize a stock index,and the ability of the logistics personnel's emotion index to predict the stock movements trend of manufacturing enterprises was inspected by the empirical method.The results show that the fluctuation of sentiment index in some direction often comes out earlier in advance of40 weeks than the fluctuation of the corresponding stock price index in the same direction.
出处
《上海理工大学学报》
CAS
北大核心
2016年第5期457-464,共8页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(61403255)
教育部人文社科项目(14YJCZH218)
上海市高校青年教师培养资助计划(1015303801)
关键词
物流论坛
证券市场
预测能力
语义分析
logistics message board
stock market
prediction capability
text analysis