Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.

Method of Consistency Judgment for App Software’s User Comments

With the popularity of mobile intelligent terminal, user comments of App software is viewed as one of the research interests of social computing. Faced with the massive App software, most users usually view the other users’ comments and marks to selecting the desired App software. Due to the freedom and randomness of the network comments, the inconsistence between the user’s comment and mark makes it difficult to choose App software. This paper presents a method by analyzing the relationships among user’s comment information, the user’s mark and App software information. Firstly, the consistency between user’s comment information and App software information is judged. Then, through analyzing the grammar relationships among the feature-words, adverbs and the feature-sentiment-words in App software’s feature-sentimentword- pairs, the user’s emotional tendency about App software is quantified quantified combining with the dictionary and the network sentiment words. After calculating the user’s comprehensive score of App software, the consistency of App software’s user comment is judged by comparing this score and the user’s mark. Finally, the experimental results show that the method is effective.

Editor＇s comments

This review article entitled ＂Physiological approaches to understanding molecular actions on dorsolateral prefrontal cortical neurons underlying higher cognitive processing＂ examines the relationship between neurotransmitters and prefrontal cognitive function. The authors of this article are leading the field in such research.

Comments on Zeng's Paper “Variational Principle of Instability of Atmospheric Motions”

After my paper (Zeng, 1986b) was published and another (Zeng, 1989) was submitted to the journal, I found two papers written by Arnold (1966) and McIntyre et al. (1987) and received some reprints of Ripa’s papers (1983; 1984; 1987; 1988) in the same field. I thank Drs. Mu Mu and Pedro Ripa very much for showing and sending me these interesting papers.

Comments on R·Frost’s After Apple-Picking

Robert Frost once said that a poet“speaks in parables and in hints and inindirections,”for“poetry provides the one permissible way of saying one thingand meaning another.”In After Apple-Picking,one of his best-known poems,Frost again speaks indirectly,in parrables and hints;he is not just talkingabout apple-picking when he says“But I am done with apple-picking now.”What he actually hints is that the“I”(herein indicates the farmer)has justbeen through with his struggle against nature and life.

A Foreign Teacher's Comments on Studying English

“How can I study English in order to make rapid progress?”is a question that I am often asked by my students. They look at me in disbelief when I reply that they should talk to their friends in English, listen to English language broadcasts on the radio,and read English novels for fun in their spare time. I sens that they think such an appxoach to language learning is too straight forward,and as their foreign teacher, I should have a more mysterious, quicker method perhaps something like drinking a magie potion.

基于S-O-R理论的新型公共阅读空间用户流失行为分析——来自大众点评网用户评论

文章以大众点评网站中新型公共阅读空间的评论数据为对象,以S-O-R模型为理论基础,利用Python爬取其“中评”与“差评”的评论数据,运用内容分析法归纳得出新型公共阅读空间用户流失行为的主要因素,并构建新型公共阅读空间用户流失行为模型。在此基础上,提出提高新型公共阅读空间服务效能的相关建议,为提高新型阅读空间的服务质量,降低用户流失率提供参考。

Customization Product Design Based on User's Emotion and Needs

The paper presents a design method that ensures the ingenuity of the product form as well as the whole and exact expression of user’s needs. The key idea is to establish an automatic design system which can transform the user’s language needs into the product features in real-time. A rifle was taken as a research instance and soldiers were chosen as evaluation customers. The theory of fuzzy set and semantic difference are adopted to evaluate the relationship between user’s needs and product features as well as their alternatives. FAHP (fuzzy analytic hierarchy process) is utilized to judge the user’s satisfactory forms. This method can also be applied to other product form designs.

Use of methotrexate in inflammatory bowel disease in 2014: A User's Guide

Methotrexate has been used an immunomodulator in many autoimmune diseases,including inflammatory bowel disease. However,many physicians are unfamiliar or uncomfortable with its use in the management of inflammatory bowel disease. We summarize the data for use of methotrexate in common clinical scenarios:(1) steroid dependant Crohn's disease(CD);(2) maintenance of remission in steroid free CD;(3) azathioprine failures in CD;(4) in combination therapy with Anti-TNF agents in CD;(5) decreasing antibody formation to Anti-TNF therapy in CD;(6) management of fistulizing disease in CD; and(7) as well as induction and maintenance of remission in ulcerative colitis. An easy to use algorithm is provided for the busy clinician to access and safely prescribe methotrexate for their inflammatory bowel disease patients.

Frequent Itemset Mining of User’s Multi-Attribute under Local Differential Privacy

Frequent itemset mining is an essential problem in data mining and plays a key role in many data mining applications.However,users’personal privacy will be leaked in the mining process.In recent years,application of local differential privacy protection models to mine frequent itemsets is a relatively reliable and secure protection method.Local differential privacy means that users first perturb the original data and then send these data to the aggregator,preventing the aggregator from revealing the user’s private information.We propose a novel framework that implements frequent itemset mining under local differential privacy and is applicable to user’s multi-attribute.The main technique has bitmap encoding for converting the user’s original data into a binary string.It also includes how to choose the best perturbation algorithm for varying user attributes,and uses the frequent pattern tree(FP-tree)algorithm to mine frequent itemsets.Finally,we incorporate the threshold random response(TRR)algorithm in the framework and compare it with the existing algorithms,and demonstrate that the TRR algorithm has higher accuracy for mining frequent itemsets.

User’s Relevance of PIR System Based on Cloud Models

A new method to evaluate fuzzily user＇s relevance on the basis of cloud models has been proposed. All factors of personalized information retrieval system are taken into account in this method. So using this method for personalized information retrieval （PIR） system can efficiently judge multi-value relevance, such as quite relevant, comparatively relevant, commonly relevant, basically relevant and completely non-relevant, and realize a kind of transform of qualitative concepts and quantity and improve accuracy of relevance judgements in PIR system. Experimental data showed that the method is practical and valid. Evaluation results are more accurate and approach to the fact better.

Comment of Walker and Avant’s method of concept analysis

In order to promote the nursing discipline to developindependently and scientifically, nursing practice shouldbe guided by nursing theory instead of intuition andexperience of nurses [1]. Nursing theory can assist nursesto deliver individual patient’s care and help to improveobservation and recognition of specific patient need, be itbiological, psychological or social [2]. Nursing theory hasdeveloped quickly and successfully in recent decadesinternationally; however, it is still in the early stage ofdevelopment in China.

基于ISM-MICMAC模型的移动政务APP用户满意度影响机制研究

[目的/意义]旨在明确用户对移动政务APP满意度的影响机制,为移动政务APP的良性发展提供改善建议,助力提升群众获得感和政府治理能力。[研究设计/方法]基于感知价值视角,使用文本分析法从用户对移动政务APP的负面评论中归纳用户满意度影响因素,使用解释结构模型(ISM)揭示各因素间的层级关系,并用交叉影响矩阵相乘法模型(MICMAC)进行解释和验证。[结论/发现]确定了感知功能价值、感知交互价值、感知风险价值三个维度共22项移动政务APP用户满意度影响因素,根据ISM模型,将22项因素分为表层、中层和底层三个层次,利用MICMAC将影响因素分为独立、自治和依赖三个影响因素群。[创新/价值]揭示了移动政务APP用户满意度影响机制,丰富了感知价值理论的应用领域,并为移动政务发展提供有效建议。

基于双输入和BiLSTM-MHSA的评论文本方面情感分类方法

【目的】针对方面情感分类输入类别在不同领域之间差异较大,汽车用户评论文本语义信息不全,语义特征难以提取等问题,提出基于双通道输入的并行双向编码表征(bidirectional encoder representation from transformers,BERT)双向长短期记忆多头自注意力模型的方面情感分类方法。【方法】首先采用了方面情感和方面抽取的双重标签进行标注;其次通过并行的方面抽取和方面情感分类任务通道,分别使用BERT、双向长短期记忆网络(bidirectional long and short-term memory networks,Bi-LSTM)及多头注意力机制(multihead self-attention,MHSA)提取更深层次的语义信息及近距离和远距离特征信息;最后采用条件随机场(conditional random field,CRF)分类器和Softmax分类器进行分类。【结果】在相关的汽车用户评论文本数据集和多语言混合数据集上,本研究提出的模型相较于主流的方面情感分类方法,具有同步抽取方面词和判断情感极性的能力,且有效提高了方面词抽取和方面情感分类的准确率和F_(1)值。【结论】本研究提出的模型更有利于汽车销售者分析用户评论,同时对识别用户评论文本的情感极性的研究也有一定的参考价值。

A Dynamic Bandwidth Allocation Solution Based on User Behavior and Software Defined EPS

For telecommunication operators, how to improve the utilization of bandwidth resources is always a problem which worthy of study, nowadays, this issue has become more and more important, since the traffic load bursting in the mobile Internet. So the key to solving this problem is that we need to find a kind of traffic model to predict the traffic load that users need. According to the predicted traffic load to allocate bandwidth to each base station dynamically.But the traffic consumption behavior of a single base station is random, it is difficult to predict[ 1 ]. For this reason, we based on reality that, when the user moves, it may get traffic load from different base stations, therefore, there will have some kind of relationship between those base stations.We use this relationship to establish a kind of Spatial Collaborative Network.consequently, we make use of stability algorithm to divided those base station cluster into different communities, According to the traffic load usage rules which these communities indicated to us, we get a traffic model.At the same time, we studied bow to use this traffic model in the future networks to dynamically allocate bandwidth resources, then we propose a new kind of EPS architecture based on SDN, on this platform, we can deploy our strategy through it＇s programmable interface.Finally, we designed an experiment to test the performance of our dynamic strategy, and the result shows that our method enables bandwidth utilization has been greatly improved.

Comment on "Terry's nail: an overlooked physical finding in cirrhosis"

To the Editor:We read with great interest the recent paper by Baran and colleagues,[1]published in the journal of Hepatobiliary Pancreatic Diseases International.The authors presented nails abnormalities in a 65-year-old woman with cryptogenic cirrhosis and hepatocellular carcinoma and described them as Terry’s nails.Whether they were Terry’s nails remains controversial,at least far away from

Causes of Gatsby's Tragedy──A comment on the novel "the Great Gatsby

ＣａｕｓｅｓｏｆＧａｔｓｂｙ＇ｓＴｒａｇｅｄｙ──Ａｃｏｍｍｅｎｔｏｎｔｈｅｎｏｖｅｌ“ｔｈｅＧｒｅａｔＧａｔｓｂｙ”￥ＹａｎｇＷｅｉｌｕｅＷｉｔｈｓｈｏｔｓｏｆａｒｅｖｏｌｖｅｒ，ＪａｙＧａｔｓｂｙｄｉｅｄｉｎｓｅｎｓｉｂｌｙｉｎｈｉｓｍａｇｎｉｆ...

A Comment on Frank O'Connor's Short Story "The Man of the House

This is moving story of a boy's growing up and of the deep love between Mother and

The Destruction of a Genius——Comment on Jack London's autobiographical novel"Martin Eden

Living a dynamic life physically,intellectually and politically, Jack London had a career that was representative of the vigor of his time with working-class origins, he was, in some of his literary and political writing,one of the most articulate and militant spokesmen of his class. His work is absent from many American authologies,but included in some. "Martin Eden", London’s most autobiographical novel,is considered by many critics to be his most mature work which is read all over the world.