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东南大学化学化工学院代云茜副教授有关抗烧结催化剂的综述被Chemical Society reviews接受并已在线发表

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东南大学学报（自然科学版） 2018年第3期48卷 583-583页

东南大学化学化工学院代云茜副教授、美国佐治亚理工大学Younan Xia教授和美国西雅图华盛顿大学Charles ***教授应邀在国际权威学术期刊Chemical Society reviews上以“Thephysical chemistry and materials science behinds inter-resi... 详细信息

关键词： reviews 化学化工学院东南大学催化剂综述烧结在线华盛顿大学

国际地学SCI期刊《Quaternary Science reviews》导航

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岩矿测试 2013年第4期32卷 668-668页

作者：蔡炳贵国家地质实验测试中心北京100037

《Quaternary Science reviews》（ISSN：0277—3791），1982年创刊，月刊，由Elservier公司出版，是国际第四纪研究领域内的多学科研究与综述期刊，涵盖了几乎所有的第四纪科学研究内容，包括：地质、地貌、地理、考古、土壤科学、古... 详细信息

《Quaternary Science reviews》（ISSN：0277—3791），1982年创刊，月刊，由Elservier公司出版，是国际第四纪研究领域内的多学科研究与综述期刊，涵盖了几乎所有的第四纪科学研究内容，包括：地质、地貌、地理、考古、土壤科学、古植物学和古生物学、古气候，以及所有第四纪定年方法。2012年JCR影响因子为4．076，近5年的平均影响因子为5．040。现任主编是澳大利亚伍伦贡大学（University of Wollongong，Wollongong）的*** Wallace教授；副主编6位，包括中国科学院地质与地球物理研究所的杨小平研究员。

关键词： reviews 中国科学院地质与地球物理研究所期刊国际 SCI 地学导航影响因子

《农药》杂志主编刘长令在国际权威杂志《Chemical reviews》发表论文

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农药 2014年第6期53卷 455-455页

2014年5月29日,国际权威杂志《化学评论》（《Chemical reviews》,2012年影响因子41.298）网站上（http：//***/doi/abs/10.1021/cr4005605）刊登了沈阳化工研究院国家新农药创制与开发重点实验室、《农药》杂志主编刘长令教授及其合作... 详细信息

2014年5月29日,国际权威杂志《化学评论》（《Chemical reviews》,2012年影响因子41.298）网站上（http：//***/doi/abs/10.1021/cr4005605）刊登了沈阳化工研究院国家新农药创制与开发重点实验室、《农药》杂志主编刘长令教授及其合作者关爱莹等撰写的论文：新农药创新策略《中间体衍生化策略在农用化学品创制中的应用》（＂Application of the Intermediate Derivatization Approach in Agrochemical Discovery＂,DOI：10.1021/cr4005605）,该文长达29页。《化学评论》是美国化学会主办的国际权威杂志,其学术影响力在国际化学领域处于前列。该杂志副主编Robert ***教授对该文章给予了很高的评价：

关键词： reviews 新农药杂志国际权威主编论文农用化学品

Method of Relevance Judgment for App Software’s User reviews

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国际计算机前沿大会会议论文集 2017年第2期 6-8页

作者： Qixin Xiang Ying Jiang Meng Ran Jiaman Ding Yunnan Key Lab of Computer Technology Application Kunming 650500 China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China

In order to judge whether the user reviews are relevant to App software, this paper proposed a method to judge the relevance of user reviews based on Naive Bayesian text classification and term ***, the keywords sets of App software’s user reviews are extracted. Then, the keywords sets are optimized. Finally, the relevance score of the user reviews are calculated, and whether the user reviews are relevant is judged. Through the experiment, this method is proved that can judge the relevance of App software’s user reviews effectively.

关键词： App software User reviews Relevance judgment Naive Bayesian text classification Term frequency

Effects of Negative Online reviews on Consumers＇ Attitudes and Behavioral Intentionstoward Online Products

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经济管理学刊（中英文版） 2015年第4期4卷 75-83页

作者： Yuhua Cui Jishun Niu Rui Guo School of Business Beijing Institute of Fashion Technology 100020 China

Online shopping has become an important new channel because of its rapid development and broad application of the Internettechnology. As consumer information search and release gradually shift from offline to online, online reviews of products havebecome more valuable. Research shows that most online shoppers view online reviews from product users before purchasing. Asone of the most important forms of spreading awareness, online product reviews has an increasing impact on customer purchasedecisions and has gradually become an urgent issue in network marketing research. This phenomenon impels businesses to realizethat online reviews significantly affect trading volume. Businesses have attempted to manipulate online reviews by providing asignificant number of positive comments that could lead to consumer confidence and purchase of products. Internet users inChina are more interested in reading negative comments compared with the rest of the global Internet users. Thus, the effects ofstructural characteristics of potential customers, negative attitudes, and behavioral intentions have not yet aroused global concernbecause this phenomenon has been limited to the local *** on literature, the main objective of negative online reviews is the positioning of fashion products. The perception ofnegative online reviews, purchase attitudes, and behaviors are the factors considered in the present study. Negative online reviewsof clothing and accessories sold online and their influence on consumer purchase intention and attitudes are analyzed. The studyaims to confirm that negative online reviews have an effect on consumer purchase intention, attitudes, and behaviors. Moreover,buying attitudes influence behavior intention.

关键词： Online reviews Purchase attitudes Behavioral intention

A Study on Process Model of Computing Similarity Between Product Features and Online reviews

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国际计算机前沿大会会议论文集 2015年第B12期 73-75页

作者： Xueguang Xie Xiaoping Du Qinghong Yang Pengfei Feng School of Software Beihang UniversityBeijing 100191China

Review similarity computing is used to judge whether the content of online reviews is related to the *** is an important prerequisite to judge the usefulness of reviews,and it is also an important basis for the classification and sorting of product *** paper combines the VSM,TF-IDF algorithm and cosine similarity algorithm to build the model of similarity computing between the product online reviews and product features,and to build the process framework of review similarity computing for ***,this paper also verifies the model’s effectiveness and correctness based on real online review data of *** experiment results show that the process model can be used to quantify the similarity between reviews and product features,and the similarity results also have a good effect on the application of the review sorting.

关键词： reviews similarity Process model VSM TF-IDF algorithm Cosine similarity algorithm

Nutrition reviews中文版——“营养总揽”已在线出版

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中国食物与营养 2011年第11期17卷 75-75页

Nutrition reviews是国际生命科学学会（ILSI）出版、JohnWdey＆Sons Limited发行的权威性国际营养学学术期刊，其主要介绍国际上新的营养科学和政策等方面研究进展。2010年影响因子达到4．077，在70种营养类学术期刊中排名第9位。

关键词： reviews 营养学出版在线中文科学学会学术期刊影响因子

Aspect-Based Sentiment Analysis for Social Multimedia:A Hybrid Computational Framework

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Computer Systems Science & Engineering 2023年第8期46卷 2415-2428页

作者： Muhammad Rizwan Rashid Rana Saif Ur Rehman Asif Nawaz Tariq Ali Azhar Imran Abdulkareem Alzahrani Abdullah Almuhaimeed University Institute of Information Technology–PMAS Arid Agriculture University Rawalpindi46000Pakistan Department of Creative Technologies Air UniversityIslamabad44000Pakistan Computer Engineering and Science Department Faculty of Computer Science and Information TechnologyAl Baha UniversityAl Baha65799Saudi Arabia Digital Health Institute King Abdulaziz City for Science and TechnologyRiyadh11442Saudi Arabia

People utilize microblogs and other social media platforms to express their thoughts and feelings regarding current events,public products and the latest *** share their thoughts and feelings about various topics,including products,news,blogs,*** user reviews and tweets,sentiment analysis is used to discover opinions and *** polarity is a term used to describe how sentiment is ***,neutral and negative are all examples of *** area is still in its infancy and needs several critical *** and hidden emotions can detract from the accuracy of traditional *** methods only evaluate the polarity strength of the sentiment words when dividing them into positive and negative *** existing strategies are *** proposed model incorporates aspect extraction,association rule mining and the deep learning technique Bidirectional EncoderRepresentations from Transformers(BERT).Aspects are extracted using Part of Speech Tagger and association rulemining is used to associate aspects with opinion ***,classification was performed using *** proposed approach attained an average of 89.45%accuracy,88.45%precision and 85.98%recall on different datasets of products and *** results showed that the proposed technique achieved better than state-of-the-art sentiment analysis techniques.

关键词： Aspects deep learning lexicon sentiments reviews

Selective extraction and conversion of lignin in actual biomass to monophenols: A review

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Journal of Energy Chemistry 2016年第6期25卷 947-956页

作者： Zhicheng Jiang Changwei Hu Key Laboratory of Green Chemistry and Technology Ministry of Education College of Chemistry Sichuan University

Our over dependency on the fossil resource for industrial chemicals and fuels faces great challenges. Recently, the production of monophenols from lignin in lignocellulosic biomass is regarded as a promising process for sustainable biofuels. This article discusses the conversion of lignin in actual biomass directly to monophenols. The two step way including extraction of lignin from biomass and further degradation of the lignin oligomers to monophenols is especially discussed. The obtained monophenols can also be converted to chemicals with low-oxygen content via hydrodeoxygenation process. For extraction of lignin, co-solvent system is the most adopted for hydrolysis or solvolysis of lignin assisted by acid or alkaline catalysts. The structure of the obtained oligomers derived from lignin is discussed in detail. For lignin depolymerization, hydrogenolysis is an efficient method with the use of gaseous hydrogen or alcohols as hydrogen source. At the meantime, depolymerization mechanism and the route for repolymerization of the reaction intermediates are presented here. In hydrodeoxygenation process, metal catalysts, especially noble metal catalysts are required. The precise effects of the reaction solvents and catalysts on extraction and degradation of lignin need to be further investigated, and this will benefit to design more efficient strategies for lignin utilization. © 2016 Science Press

关键词： Biomass Catalysts Extraction Hydrolysis Industrial chemicals Oligomers Precious metals Reaction intermediates reviews Solvents