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.

Enhancing User Security on Instagram: A Multifaceted AI System for Filtering Abusive Comments

Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech and abusive language. The proposed system employed a multifaceted approach to comment filtering, incorporating the multi-level filter theory. This involved developing a comprehensive list of words representing various types of offensive language, from slang to explicit abuse. Machine learning models were trained to identify abusive messages through sentiment analysis and contextual understanding. The system categorized comments as positive, negative, or abusive using sentiment analysis algorithms. Employing AI technology, it created a dynamic filtering mechanism that adapted to evolving online language and abusive behavior. Integrated with Instagram while adhering to ethical data collection principles, the platform sought to promote a clean and positive user experience, encouraging users to focus on non-abusive communication. Our machine-learned models, trained on a cleaned Arabic language dataset, demonstrated promising accuracy (75.8%) in classifying Arabic comments, potentially reducing abusive content significantly. This advancement aimed to provide users with a clean and positive online experience.

Syntax-Based Aspect Sentiment Quad Prediction by Dual Modules Neural Network for Chinese Comments

Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete subtask.ASQP aims to accurately recognize the sentiment quad in the target sentence,which includes the aspect term,the aspect category,the corresponding opinion term,and the sentiment polarity of opinion.Nevertheless,existing approaches lack knowledge of the sentence’s syntax,so despite recent innovations in ASQP,it is poor for complex cyber comment processing.Also,most research has focused on processing English text,and ASQP for Chinese text is almost non-existent.Chinese usage is more casual than English,and individual characters contain more information.We propose a novel syntactically enhanced neural network framework inspired by syntax knowledge enhancement strategies in other NLP studies.In this framework,part of speech(POS)and dependency trees are input to the model as auxiliary information to strengthen its cognition of Chinese text structure.Besides,we design a relation extraction module,which provides a bridge for the overall extraction of the framework.A comparison of the designed experiments reveals that our proposed strategy outperforms the previous studies on the key metric F1.Further experiments demonstrate that the auxiliary information added to the framework improves the final performance in different ways.

Tackling Faceless Killers: Toxic Comment Detection to Maintain a Healthy Internet Environment

According to BBC News,online hate speech increased by 20%during the COVID-19 pandemic.Hate speech from anonymous users can result in psychological harm,including depression and trauma,and can even lead to suicide.Malicious online comments are increasingly becoming a social and cultural problem.It is therefore critical to detect such comments at the national level and detect malicious users at the corporate level.To achieve a healthy and safe Internet environment,studies should focus on institutional and technical topics.The detection of toxic comments can create a safe online environment.In this study,to detect malicious comments,we used approxi-mately 9,400 examples of hate speech from a Korean corpus of entertainment news comments.We developed toxic comment classification models using supervised learning algorithms,including decision trees,random forest,a support vector machine,and K-nearest neighbors.The proposed model uses random forests to classify toxic words,achieving an F1-score of 0.94.We analyzed the trained model using the permutation feature importance,which is an explanatory machine learning method.Our experimental results confirmed that the toxic comment classifier properly classified hate words used in Korea.Using this research methodology,the proposed method can create a healthy Internet environment by detecting malicious comments written in Korean.

Critical Discourse Analysis Based on Halliday’s Systemic Functional Linguistics: Taking The Economist’s First Commentation on the End of China’s Zero-COVID Policy as an Example

Based on Halliday’s systemic functional grammar,especially the ideational function,this research aims at disclosing the hidden ideologies and values of the seemingly objective news reports on China’s COVID-19 policies in The Economist.Transitivity,voice,and nominalization are the major analytical subjects.After China lifted the zero-COVID policy,western media began criticizing China’s lack of data sharing,with some misinformation and misleading reports.The denouncement of inertness and reluctance to fight against the pandemic disclaim the Chinese government’s efforts and depreciate China’s image.China is portrayed as the villain and destroyer of people’s health worldwide.Meanwhile,they also hold a hesitant attitude toward China’s diplomacy.The re-engaging with foreign countries and travel restrictions have been described as imprudent and rushed actions.They also consider China as the fuse of contradiction in the United Nations.What is overt is their view of breaking up China.

Development of Comment Correlation Matrix for Mobile Application Recommendation

As the evolution of mobile technology, mobile devices have become an essential tool in people＇s daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various services provided by mobile platforms. Many services can be executed on the mobile devices with various mobile applications launched to mobile platforms. People can choose what they like to install in their mobile devices and hence make their life more convenient, entertaining, and productive. However, there are too many mobile applications for users to choose. The goal of this research is to propose a methodology which can recommend top-N lists for mobile applications. A comment correlation matrix is proposed. Furthermore, a recommendation algorithm for mobile applications based on user comments and key attributes is built. With the proposed method, it outperforms Google play and is closer to user real feelings.

Comment on Thackeray's Vanity Fair

William Makepeace Thackeray is a great critical realistic writer,whose works are very profound.And his masterpiece,Vanity Fair,has superb artistic accomplishment.Thackeray’s description and satirical criticism of the life of the bourgeoisie and aristocracy is sharp,penetrating and unique.His Vanity Fair fully embodies his viewpoint that a novel should reflect nature and reality,and transmit the real situation and true feelings.

Comment on Approaches and Methods in Language Teaching

The advantages and the disadvantages of 7 teaching methods are obvious in this paper through a brief comment.The contrast between the similar methods is also presented.In practice,it is a better measure to synthesizing several teaching methods in a lesson.

Reply to the Comment by Tan Mingxuan et al.(2017), on “A new Discovery of the Early Cretaceous Supercritical Hyperpycnal Flow Deposits on the Lingshan Island, East China”

We thank Tan Mingxuan et al. （2017） for their comments stimulated by our short paper in the recent Acta Geologica Sinica （English edition）. We are grateful for the opportunity to expand on the model of the supercritical hyperpycnal flow deposits in the Beilaishi section on the Lingshan Island, and to explain why the model proposed by Tan Mingxuan et al. （2017） cannot explain the bulk of the deposits in the Beilaishi section. We do not dispute that the recognition of supercritical flow deposits remains ambiguous （Ono and Plink-Bjorklund, 2017）. To some extent, the morphology of deep-water supercritical flow deposits is similar to hummocky and swaley cross- stratification （Ono and Plink-Bjorklund, 2017）. Besides, distinguishing the deposits laid down by gravity flows in deep-water systems from those produced by storm-related combined flows in continental shelf systems is not an easy task （Ono and Plink-Bjorklund, 2017）. However, a correct interpretation is crucial for understanding the paleogeographic and depositional model.

The Research Comment on Organic Food Consumer Behavior

Since the development of organic food,to a great extent,depends on the needs of consumers,the studies on the consumer behavior of organic food would have far-reaching significance to the development of the whole organic food industry. The recent studies in this field mainly include the following four aspects: the consumers' recognition of organic food; the consumers' attitude towards organic food; the consumers' purchase of organic food; the consumers' willingness to pay. The paper would review the recent domestic and foreign studies on the four aspects mentioned above,aiming to provide references to the researches in this field.

Technical comments on rodent spinal cord injuries models

Spinal cord injuries （SCI） in rodents have been created by laceration, contusion, compression, or intramedullary injection of toxic agents. The choice of an appropriate SCI model should be made for each study based on the experimental design, with care taken to avoid unintended complications such as hemorrhage. Technical comments will be made in this communication describing the 1） importance of vertebral stabi- lization, 2） injury preparation, and 3） landmarks to improve the preci- sion and reproducibility of the SCI.

Commenting On "The Secret Life of Walter Mitty"

'The Secret Life of Walter Mitty'is written by James Thurber, who is the best known humorist in modern times. Thurber is famous both for his writing and his cartoon.Many critics consider him the finest American humorist since Mark Twain and like Twain, his humor takes the form of ironic satire.

Comment on "p38 MAPK inhibition alleviates experimental acute pancreatitis in mice"

To the Editor：I read with great interest the article by Cao et al[1] re- porting a potential therapeutic utility of p38 inhibitors for acute pancreatitis. Using a preclinical mouse model where acute pancreatitis was induced by administra- tion of cerulein （a cholecystokinin analog derived from the tree frog Litoria caerulea）, the authors reported that the p38 MAPK inhibitor SB203580, administered intra- peritoneally before and after the first administration of cerulein, relieved signs associated with acute pancreatitis, including decreased HSP60 and HSP70 expression, and serum IL-6, amylase and lipase activities. Although the study remains descriptive and pharmacodynamic aspects were not examined in depth, it still has a merit as it undoubtedly provides a basis for further investigation into the potential utility of targeting p38 signaling for acute pancreatitis, a common serious condition that can be life-threatening.

Comment on profitability analysis of a femtosecond laser system for cataract surgery using a fuzzy logic approach

Dear Editor,We read with interest the recently published study by Trigueros et al（[1]）,highlighting the financial and management conditions of femtosecond laser-assisted cataract surgery（FLACS）.The authors derived a simulation to estimate.

Response to Comment on "The role of wildlife (wild birds) in the global transmission of antimicrobial resistance genes"

DEAR EDITOR,Since our first identification of plasmid-mediated colistin resistance gene mcr-1 in 2015 （Liu et al., 2016）, it has been described in human clinics, domestic animals, foods, and the environment worldwide （Schwarz ＆ Johnson, 2016）. Although it is still rare, the emergence of mcr-I in wild animals is of great concern. We summarized two previous reports on mcr-1 in wild birds from Lithuania and Argentina to describe its emergence and characteristics in wildlife and highlight the potentially important role of wild animals, particularly birds, in its global transmission （Wang et al., 2017）. The first detection of mcr-1 in wildlife in Asia was identified in an extended-spectrum β- lactamase-producing Escherichia coil strain isolated from Eurasian coot （Fulica atra）,

Comment on ＂Comparison of 45-degree Kelman and 45-degree balanced phaco tip designs in torsional microcoaxial phacoemulsification＂

Dear Editor,We read with interest the article ＂Comparison of 45-degree Kelman and 45-degree balanced phaco tip designs in torsional microcoaxial phacoemulsification＂ by Demircan et al. The authors describe the intraoperative and post-operative outcomes of phacoemulsification in terms of cumulative dissipated energy （CDE）, total ultrasound （US） time, torsional US time, total fluid use, percentage change in central corneal thickness and endothelial cell count in the two groups. A comparative evaluation has been made between the two groups involving the Kelman mini-flared tip and the Intrepid balanced phaco tip using the Infiniti Ozil IP Vision system （Alton Laboratories Inc., Fort Worth, TX, USA） as hasbeen explicitly mentioned in the article under the ＂Methods＂ section. However,

Comment on concurrent removal of intravitreal lens fragments after phacoemulsification with pars plana vitrectomy prevents development of retinal detachment

I read with interest the article entitled ＂Concurrent removal of intravitreal lens fragments afterphacoemulsification with pars plana vitrectomy prevents development of retinal detachment＂ by Chalam et al . In this study, none of the patients developed retinal detachment （RD） during the one-year follow-up after concurrent removal lens fragments following phacoemulsification with pars plana vitrectomy （PPV）. The authors suggested that concurrent PPV for retained lens fragments after cataract surgery might prevent development of rhegmatogenous retinal detachment （RRD）, because early PPV prevents development of intraocular inflammation and inhibits vitreous contraction, a common cause of retinal tears and detachment.

Comment on anisometropia magnitude and visual deficits in previously untreated anisometropic amblyopia

Dear Editor,We read with great interest article titled'Anisometropia magnitude and visual deficits in previously untreated anisometropic amblyopia'by Chen et al[1].The authors have analysed subjects with previously untreated anisometropic amblyopia and found a significant correlation between high degree of anisometropia and deep amblyopia,worse contrast sensitivity,fusion and stereopsis functions.We commend the authors in addressing a very important problem and agree with the authors in the notation that children with anisometropia are usually detected later owing to lack of noticeable physical abnormalities.

Comment on hydration with Cefuroxime-a method for sealing a small leaking corneal perforation

Dear Editor,In a recent interventional case report,Allon et al ）hydrated corneal stroma with cefuroxime to seal a small traumatic leaky corneal perforation that was unresponsive to prior soft bandage contact lens application for 6d.