Clustering Context-Dependent Opinion Target Words in Chinese Product Reviews

In opinion mining of product reviews, an important task is to provide a summary of customers＇ opinions based on different opinion targets. Due to various knowledge backgrounds or linguistic habits, customers use a variety of terms to describe the same opinion target. These terms are called as context-dependent synonyms. In order to provide a comprehensive summary, the first step is to classify these opinion target words into groups. In this article, we mainly focus on clustering context-dependent opinion target words in Chinese product reviews. We utilize three clustering methods based on distributional similarity and use four different co-occurrence matrices for experiments. According to the experimental results on a large number of reviews, we find that our proposed heuristic k-means clustering method using opinion target words co-occurrence matrix achieves the best clustering result with lower time complexity and less memory space. In addition, the accuracy is more stable when choosing different combinations of centroids. For some kinds of co-occurrence matrices, we also find that using small-size （low-dimensional） matrices achieves higher average clustering accuracy than using large-size （high-dimensional） matrices. Our findings provide a time-efficient and space-efficient way to cluster opinion targets with high accuracy.

Significance of Live Streaming in Shaping Business: A Critical Review and Analytical Study

With the rise of live streaming on social media, platforms like Facebook, Instagram, and YouTube have become powerful business tools. They enable users to share live videos, fostering direct connections between businesses and their customers. This critical literature review paper explores the impact of live streaming on businesses, focusing on its role in attracting and satisfying consumers by promoting products tailored to their needs and wants. It emphasizes live streaming’s crucial role in engaging customers, a key to business growth. The study also provides viable strategies for businesses to leverage live streaming for growth and customer engagement, underscoring its importance in the business landscape.

Air pollution, food production and food security: A review from the perspective of food system

Air pollution negatively impacts food security. This paper reviews the current literature on the relationship between air pollution and food security from the perspective of food system. It highlights that agricultural emissions which substantially contribute to air pollution could happen at every stage along the food supply chain. Meanwhile, air pollution can not only affect plant growth and animal health but also shift market equilibrium of both agro-inputs and outputs in the food supply chain and thereby affect food security indirectly. Furthermore, this study evaluates the effects of agricultural policy and energy policy on food security and air pollution, respectively, and provides an overview of potential policy instruments to reduce air pollution while ensuring food security. Finally, we identify the remaining research and policy issues for further studies, mainly focusing on the study of household＇s bounded rational behaviors and the issue of rural aging population.

Power Production and Construction in China:Review of Tasks in 2000 and Major Targets and Focal Tasks for 2001

This paper, excerpted from General President Gao Yan’s Speech on the State Power Corporation Working Conference for 2001, held in Shenzhen on December 23-25, 2000, reviews the power production and construction tasks in 2000 and puts forward the major targets and focal tasks of power production and construction for 2001.

Exploiting Consumer Reviews for Product Feature Ranking

Web 2.0 technology leads Web users to publish a large number of consumer reviews about products and services on various websites. Major product features extracted from consumer reviews may let product providers find what features are mostly cared by consumers, and also may help potential consumers to make purchasing decisions. In this work, we propose a linear regression with rules-based approach to ranking product features according to their importance. Empirical experiments show our approach is effective and promising. We also demonstrate two applications using our proposed approach. The first application decomposes overall ratings of products into product feature ratings. And the second application seeks to generate consumer surveys automatically.

Firm review revelation policy considering social ties among consumers

An optimization model is proposed to analyze the optimal review revelation policies and consumer online social network management strategies of e-commerce firms.The results show that displaying friend reviews to consumers does not necessarily increase firms profits.Only when positive reviews account for a large proportion of all the reviews and when the cost of showing friend reviews is not high,can showing friend reviews be more profitable than not showing such information.The distribution of social ties among consumers can affect firms profits.Even in the case that showing friend reviews to consumers is more profitable,an increase in the proportion of strong ties is not necessarily beneficial to firms.Only when the proportion of positive reviews is large enough,can firms profits increase with the increase in the proportion of strong ties among consumers.Moreover,the degree of consumer distrust in the average quality rating can also affect firms strategies for managing consumer online social networks.As the degree of consumer distrust in the average quality rating rises,firms are more likely to obtain higher profits by taking measures to increase the proportion of strong ties among consumers on their websites.