翻译中词义的理解与表达

翻译中词义的理解与表达起着重要的作用。基于奈达的翻译理论，从英汉互译的角度，通过一些翻译实例，阐明只有正确把握词汇的多义性以及字词在不同文体中的最佳表达，才能使翻译成为一种成功的再创作。     

民办高校学生媒体接触渠道分析

本文针对大一新生和高三学生,对考生获取民办高校信息的渠道,通过互联网了解信息的主要方式以及学生对学校发放宣传资料和广告的态度等方面进行了实证研究,以了解消费者如何获取民办高校信息以及评价信息,为民办高校未来招生宣传的传播渠道组合提供参考。     

社交网站中网络口碑对消费者团购意愿的影响——考虑品牌信任的中介作用

分析了社交网站中的网络口碑对消费者团购意愿的影响,并探讨了品牌信任对上述影响的中介作用。基于对304位有网络团购经验的高校学生的深度访谈和问卷调查,运用因子分析、相关分析以及结构方程模型等方法,对相关假设进行了实证分析。结果表明:社交网站网络口碑的数量、质量和时效性与消费者团购意愿之间存在显著、正向且直接的影响关系,品牌信任在二者之间发挥部分中介效应。     

The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model

This study aims to investigate the hotel selection differences among different types of travellers through online hotel reviews. Specifically, the study performs a detailed examination of the differences in hotel key factors, criterion importance and selection results among five types of travellers, namely, business, couples, families, friends and solo. Using a sample of 194,885 online reviews on TripAdvisor.com, this study identifies the hotel key factors and criterion importance by employing the term frequency-inverse document frequency algorithm and Word2Vec algorithm. Additionally, a bounded rationality behavioural decision support model with picture fuzzy information is proposed to address hotel selection problems for different traveller types. Our results suggest that different types of travellers present differences in hotel key factors, criterion importance and selection results. However, families and friends have similar hotel selection results. This study can serve as a reference for hotel managers in understanding traveller preferences and for tourism website optimisation.     

基于.NET平台XML与Word文档相互转换的研究与实现

讨论了XML技术对于办公数据信息采集的重要性,分析了基于ASP.NET平台下实现XML文档到Word文档的转换,尤其是在段落、字体格式等属性方面的转换,并给出具体实现代码.     

浅谈Word中替换命令的妙用

随着字处理软件Word的使用范围的加大,人们对它的某些操作只了解其表面含义,并没有将其扩展开来,如替换命令,仅知道用它来替换文字,但对其很多应用人们还不怎么了解,如在替换字符格式、段落标记、分页符、换行和其他项目等方面还不怎么熟悉。本人结合多年来对Word2000的教学,谈一谈Word中替换命令的一些妙用。     

Fan-centric social media: The Xiaomi phenomenon in China

In this highly competitive century, social media offers both opportunities and challenges. The concept of social media is top of mind for many entrepreneurs today. Fans are assuming an increasingly active role in co-creating marketing content with companies and their respective brands. Based on the Xiaomi success story in China, we provide a framework for building the power of the fan base and propose a new fan-centric social media business model. We examine the best practice case study of an emerging company's successful efforts to leverage social media in order to reach an important audience of young consumers. Thereafter, we conclude with several lessons related to the integration of social media into a new firm's operation strategy. We strongly recommend that businesses, and especially startups, make good use of powerful social media to develop a business model with fan demand as the core. This is what we call the ‘fan-centric’ social media business model.     

Talk up or criticize? Customer responses to WOM about competitors during social interactions

Popular metrics such as the Net Promoter Score (NPS) highlights many benefits of word of mouth (WOM) to firms. Is WOM all it is claimed to be? Building on social identity theory, this research develops a conceptual model of WOM exchange in social settings and tests the model with customer surveys of three service sectors. The findings show that the effects of (1) positive and negative WOM (P/NWOM) received about competitors and (2) perceived presence of critical incidents (PPCIs) on P/NWOM given about own service provider are far from intuitive. Responses to PWOM received counter the suggestions in the NPS literature. The findings also indicate that the best firms can hope for when receiving NWOM about competitors is that their customers remain silent. It is recommended that firms communicate a message that is consistent with the nuanced views expressed by friends in social circles, rather than a uniformly superior positioning.     

Soft Strategic Information and IPO Underpricing

Using content analysis, we measure the impact of soft information, derived from words in initial public offering (IPO) registration documents, on IPO pricing efficiency. First, using 2,298 U.S. IPOs from 1996–2008, we find that an IPO document's strategic tone correlates positively with the stock's first-day return; more frequent usage of positive and/or less frequent usage of negative strategic words leads to more IPO underpricing. Second, we find that an IPO document's strategic tone is negatively correlated with the stock's long-run return. Together, these findings imply that investors initially misprice soft information in registration statements, which mispricing is eventually corrected. Additionally, we create new content-analysis libraries for strategic words and introduce a survey-based library creation method and word-weighting system.     

基于情感分析混合模型的用户评论主题分析——以vivo手机为例

为了帮助商家了解用户需求和产品问题,进一步提升产品和服务质量,对vivo手机评论数据进行基于关键词的词云图分析、社会语义网络分析、舆情时间序列可视化分析,挖掘用户关注焦点与手机特征的内在联系和用户情感倾向趋势;然后对评论数据进行基于LDA的主题特征分析,继而提出一种基于Word2vec和SVM、LDA的混合算法模型,挖掘用户正向和负向情感评论的潜在主题,得到不同情感倾向下用户对vivo手机不同方面的反映情况。分析结果表明,基于混合算法的挖掘结果比基于关键词的可视化分析、基于LDA的主题分析更清晰,更具准确性,为商家提供的建议更有意义。