Ling Zhang, Wei Dong and Xiangming Mu
This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network…
Abstract
Purpose
This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network documents and paves the way for sentiment analysis of tweets in further research.
Design/methodology/approach
This study classifies negative tweets and analyses their features.
Findings
Through negative tweet content analysis, tweets are divided into ten topics. Many related words and negative words were found. Some indicators of negative word use could reflect the degree to which users release negative emotions: part of speech, the density and frequency of negative words and negative word distribution. Furthermore, the distribution of negative words obeys Zipf’s law.
Research limitations/implications
This study manually analysed only a small sample of negative tweets.
Practical implications
The research explored how many categories of negative sentiment tweets there are on Twitter. Related words are helpful to construct an ontology of tweets, which helps people with information retrieval in a fixed research area. The analysis of extracted negative words determined the features of negative tweets, which is useful to detect the polarity of tweets by machine learning method.
Originality/value
The research provides an initial exploration of a negative document classification method and classifies the negative tweets into ten topics. By analysing the features of negative tweets, related words, negative words, the density of negative words, etc. are presented. This work is the first step to extend Plutchik’s emotion wheel theory into social media data analysis by constructing filed specific thesauri, referred to as local sentimental thesauri.
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Zhi Zhou, Xiangming Mu and Xin Lin
This paper aims to propose a novel approach to constructing an economic taxonomy that demonstrates the complex relationships between firms, which are not fully revealed by…
Abstract
Purpose
This paper aims to propose a novel approach to constructing an economic taxonomy that demonstrates the complex relationships between firms, which are not fully revealed by traditional industry classification systems such as the NAICS or ICB.
Design/methodology/approach
Based on narrative economic theory, data from CNBC news reports between 01/01/2019 and 03/27/2019 regarding four selected firms, namely, Walmart, Amazon, Netflix and Boeing, were analyzed and coded as the basis to guide the construction of a firm-to-firm relationship taxonomy.
Findings
The relationships between firms are more complex than the simple relationships defined by the traditional classification systems with yes or no in terms of production process (NAICS) or major profit resource (ICB). Based on the sample firms, the authors proposed a four-layer hierarchical taxonomy framework that quantitatively reveals the inherent contradictory relationships between firms, which the authors defined as competition vs consistency. The proposed taxonomy framework is sufficiently flexible to accommodate complex relationships between firms, and it is also adaptable to new information. Under both the competition and consistency categories in the taxonomy model, more detailed subcategories are further coded into two more layers quantitatively to represent the firms' nuanced relationships.
Originality/value
This study provides a novel atheoretical approach to reveal complex firm relationships utilizing narrative text data gathered from news media. The framework of the firm relationship taxonomy constructed in this study provides an alternative and supplementary approach to the classical industry classification systems that can quantitatively specify comprehensive and dynamic connections between firms.
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Ziming Zeng, Zhi Zhou and Xiangming Mu
This paper aims to investigate the relationship between sentiment and review helpfulness and develop a method to fully use sentiment features in review helpfulness assessment. In…
Abstract
Purpose
This paper aims to investigate the relationship between sentiment and review helpfulness and develop a method to fully use sentiment features in review helpfulness assessment. In addition, this paper explores whether product type influences evaluating review helpfulness.
Design/methodology/approach
First, a high-quality data set with a manually coded helpfulness score was constructed. Second, detailed research question methods were conducted. Finally, methods were applied to the data set to extract information gain and sentiment scores. Gradient boosting and random forest methods were used to classify the data set with these features through recall, precision and F-measure to understand the research questions.
Findings
Review sentiment has a deep relationship with review helpfulness, and it can be a strong predictor of review helpfulness by refining it into more detailed scores; a combination of sentiment scores and information gain works very well on classification for two product types. Product type does not show a significant influence on helpfulness assessment.
Originality/value
This paper provides a different perspective for measuring review sentiment by clarifying the relationship between sentiment and review helpfulness, analysing the role of product type in review helpfulness assessment, and proposing a high-value feature combination. In addition, the author believes that the assessment method can be effectively applied to practical works.
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Xiangming Mu, Kun Lu and Hohyon Ryu
The goals of this study are: to evaluate the merits of a newly developed health information retrieval system; to investigate users' search strategies when using the new search…
Abstract
Purpose
The goals of this study are: to evaluate the merits of a newly developed health information retrieval system; to investigate users' search strategies when using the new search system; and to study the relationships between users' search strategies and their prior topic knowledge.
Design/methodology/approach
The paper developed a new health information retrieval system called MeshMed. A term browser and a tree browser are included in the new system in addition to the traditional search box. The term browser allows a user to search Medical Subject Heading (MeSH) terms using natural language. The tree browser presents a hierarchical tree structure of related MeSH terms. A user study with 30 participants was conducted to evaluate the benefits of MeshMed.
Findings
The paper found that MeshMed provides a user with more choices to select an appropriate searching component and form more effective search strategies. Based on the time a participant spent using different MeshMed components, the paper identified three different search styles: the traditional style, the novel style, and the balanced style, which falls in between. MeshMed was particularly helpful for users with low topic knowledge.
Originality/value
A new health information retrieval system (MeshMed) was designed and developed (and is currently available at http://129.89.43.129/meshmed). This is the first study to explore users' search strategies on such a system. The study results can inform the design of future clinical‐oriented health information retrieval systems.
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Peter Hernon and Robert E. Dugan
E-government involves the use of technology for the betterment of government and for making government more responsive to the governed. However, as practiced, some barriers…
Abstract
E-government involves the use of technology for the betterment of government and for making government more responsive to the governed. However, as practiced, some barriers complicate the achievement of this goal. This chapter provides an overview of e-government at the US national level; identifies access barriers; proposes a research agenda intended to make e-government more accountable and helpful to the audiences it intends to serve; and discusses the implications of e-government to the library community.
Mingguo Liu, Xiangming Fang and Jingru Ren
This study aims to identify the importance of agricultural and rural modernization and propose ways to accelerate such modernization.
Abstract
Purpose
This study aims to identify the importance of agricultural and rural modernization and propose ways to accelerate such modernization.
Design/methodology/approach
The authors systematically examine the crucial role that the modernization of agriculture and rural areas plays in China, discuss the current issues in China's modernization from the perspective of agricultural and rural fields and propose practical measures to accelerate agricultural and rural modernization.
Findings
This study emphasizes the importance of China's agricultural and rural modernization in five aspects: the significance inherent in theories and experiences, the high complexity of the modernization work, the extreme difficulty of the task, the particular sluggishness of the process and its specific impact on the overall development. Numerous shortcomings in domestic agriculture and rural areas have been identified. The following actions can help achieve modernization: strengthening strategic leadership, providing policy support and constructing supportive measures.
Originality/value
This paper summarizes the significance of agricultural and rural modernization, highlights the issues regarding such modernization and suggests effective solutions.
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Ellen Efron Pimentel and Jinyun Liu
In this paper, we model histories of coresidence between two cohorts of urban Chinese couples, married during the Cultural Revolution and early market reform periods. Most…
Abstract
In this paper, we model histories of coresidence between two cohorts of urban Chinese couples, married during the Cultural Revolution and early market reform periods. Most research on coresidence pictures families cross‐sectionally, but nuclear households are a natural part of extended coresidence systems that prefer stem family arrangements. We study histories of coresidence to determine what predicts ever having coresided with the husband’s parents, comparing the predictive power of modernization theory to the impact of demographic change, the availability of household members, and the resources and needs of each generation. While married children’s needs for childcare do not propel them into coresidence, they strongly predict the likelihood of staying coresident.
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Zixuan He, Xiangming Fang, Nathan Rose, Xiaodong Zheng and Scott Rozelle
To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural…
Abstract
Purpose
To combat poverty in China's rural areas, Chinese government has established an unconditional cash transfer program known as the Rural Minimum Living Standard Guarantee (Rural Dibao) Program. Interestingly, despite the importance of education in breaking cycles of poverty, little is known about Rural Dibao's impact on rural children's education. This study investigates Rural Dibao's impact on rural children's learning outcomes by first examining targeting issues within the program, exploring a causal relationship between Rural Dibao and learning outcomes, and then exploring potential mechanisms and heterogeneous effects.
Design/methodology/approach
Fixed effects model and propensity score weighting method and data from China Family Panel Studies (CFPS) from the years 2010 and 2014 were used.
Findings
The results suggest that the Rural Dibao program suffers from high levels of targeting error, yet is still effective (i.e., program transfers generally still go to people in need). The fixed effects and propensity score weighting models find that program participation raises rural children's standardized test scores in CFPS Chinese-language and math tests. In investigating mechanisms, increased education expenditure seems to connect Rural Dibao participation to increased learning results. The heterogeneity analysis shows that poorer, non-eastern, not left behind, younger or male children benefit from the program (while others have no effect).
Originality/value
These findings suggest that Rural Dibao participation boosts rural children's learning, which could indicate a long-term anti-poverty effect, and that if the program can resolve targeting problems, this effect could be even greater.