Reviewerly/exHarmony huggingface dataset:
Survey on Spam Review Detection Using Spam Filtering Algorithms

Generally the people trust on product on the basis of that product reviews and rating. Reviews can affect an organization or profile of a brand. The corporation has to assess market reactions towards its goods. However, it is not straightforward to track and organize popular reviews. Many public views are hard to manually process in social media. A methodology is then required to categories positive or negative public assessments automatically. Online feedback will provide customers with an insight into the consistency, efficiency and advice of the product; this provides prospective buyers with a better understanding of the product. One such unrealized opportunity is the usability of web assessments from suppliers in order to fulfill client requirements by evaluating beneficial feedback. Good and negative reviews play a major role in assessing customer needs and in quicker collection of product input from consumers. Sentiment Analysis is a computer study that extracts contextual data from the text. In this study a vast number of online mobile telephone ratings are analyzed. We classify the text as positive and negative, but we also included feelings of frustration, expectation, disgust, apprehension, happiness, regret, surprise and confidence for spam review detection. This delimited grouping of feedback helps to holistically assess the product, allowing buyers to decide better.
A Novel Framework for Cloud based Virtual Machine Security by Change Management using Machine

The increased growth in the cloud-based application development and hosting, the demand for higher application and data security is also increasing.The cloud-based applications are hosted on virtual machines and the data generated or used by these applications are also hosted inside the virtual machines.Hence, the security of the applications and the data can be achieved only by securing the virtual machines.There are number of challenges to achieve the security of the virtual machines.Firstly, the size of the virtual machines is large, and the generic cryptographic methods are primarily designed to handle smaller size of the data.Thus, the applicability of these methods for virtual machine are subjected to analysis.Secondly, the additional time required for applying the cryptographic algorithms on the virtual machines impact the response time of the applications, which again impacts the service level agreements.Finally, the virtual machines during the migration are highly vulnerable as the virtual machines are migrated inside the data center networks as simple text data.A good number of research attempts have tried to solve these challenges.Nonetheless, most of the parallel research works have either compromised on the strength of the security protocols or have compromised on the time taken to apply the cryptographic methods.However, the need of the research is to identify the attacks based on the characteristics of connection requests and reduce the time for the encryption and decryption of the virtual machines.This work proposes a novel framework for detection of the attacks based on a machine learning driven algorithm by analyzing the connection properties and prevent the attacks by selective encryption of the virtual machines using another machine learning driven algorithm.This work demonstrates nearly 98% accuracy in detection of the newer and existing attack types.
The Attitudes of Arabic language teachers for the upper basic stage towards learning bridges activities in Almafraq Governorate: اتجاهات معلمي اللغة العربية للمرحلة الأساسية العليا نحو أنشطة جسور التعلم في محافظة المفرق

This study aimed to reveal the attitudes of Arabic language teachers of the upper basic stage towards learning bridges activities from their point of view in Mafraq Governorate in Jordan. To achieve the objectives of the study, the descriptive survey method was used. The study used an electronic questionnaire consisting of (20) items, It was distributed amongst the study sample members, which consisted of (172) male and female teachers, and they were chosen by the available intentional sample method. The results of the study showed that the degree of the Arabic language teachers’ attitudes of the upper basic stage towards the activities of learning bridges from their point of view was high; with an arithmetic mean (2.40), and the absence of statistically significant differences at the level (α = 0.05) in the estimates of the study sample members due to the variables (gender, educational qualification, training courses), and in light of the results of the study, the researcher presented a group among the recommendations the most important is encouraging and educating teachers in Jordanian schools to benefit from the activities of learning bridges in teaching.
ContentHE: Content-enhanced Network Embedding for Hashtag Representation

Hashtags are usually adopted to highlight the topic of user-generate contents in many social media platforms. Therefore, hashtags are utilized in many topic-related applications such as user-topic opinion prediction and hashtag recommendation. Obtaining hashtag representations is usually treated as a fundamental task of these applications. These applications either learn hashtag representations from hashtag adoption or represent a hashtag by the representation of its content. However, most of existing hashtag representation learning methods fail to take full advantage of hashtag contents and the effectiveness of representing a hashtag by its content is limited in many cases. In this paper, we propose a content-enhanced hashtag embedding method called ContentHE, which introduce the semantic information of hashtag contents into hashtag representation learning by treating words which compose the hashtags as special nodes in a hashtag network. Specifically, ContentHE first introduces a word embedding space which is generated by a pre-trained language representation model and establishes a heterogeneous network. Each hashtag in the network connects with a set of user-generate contents and words if these words compose the hashtag. Then, ContentHE utilized a multi-task learning model and a sampling strategy called node sampling to map hashtags and user-generate contents to the word embedding space while preserving the network structure information. The performance of ContentHE on two real-word tweet collections demonstrates that it significantly improves the accuracy of hashtag clustering tasks and captures the relationship between the topics which hashtags belong to.
DATA CLUSTERIZATION TECHNIQUES APPLIED FOR HIGH CONSUMPTION CUSTOMER'S INSTALLMENT PAYMENT DECISION

The COVID-19 pandemic has imposed myriad challenges to society worldwide. In Brazil, many measures have been taken, such as the temporarily closure of most commercial establishments as of March 2020, which could lead to overall payment deferrals. In that regard, it must be stood out that these commercial establishments, in general, have a higher energy consumption average, deepening the threat that a generalized payment deferral severely affect distribution utilities. Given such conjuncture, in order to carefully attend payment settlements demands, the Analytical Center of CPFL Energia - a major Brazilian distribution utility - developed a clustering algorithm (to be presented in this paper) to identify customers with low default risk. The chosen clustering algorithms were K-means and K-medoids, taking into account different payment data, such as the number of overdue instalments and the average delay in days for invoice&apos;s payment. With this technique, 13400 High Consumption customers with desirable payment profiles were recommended for installment plans offers.
THE NONVERBAL COMMUNICATION AND ITS INFLUENCE ON CUSTOMER PERCEPTIONS TOWARDS SERVICE ENCOUNTER: AN EMPIRICAL STUDY IN THE IRAQI BANKING SERVICE

In the midst of a business environment that gave the customer an advanced position in the interests and orientations of marketing organizations, the method of nonverbal communication comes to occupy an important and integrated space with verbal or word communication in the field of interaction with customers in order to achieve the best response to them and build the image and positive view towards service organizations. Therefore, the current study sought to measure the influence of nonverbal communication behaviors and signals practiced by frontline employees in service organizations on the perceptions of customers during the encounter that happens between the two parties. The banking sector was chosen as a domain of study, and the quantitative approach and the random sampling method were adopted through the participation of 397 customers who received different services from banks operating in Basra Governorate - Iraq. The results indicated that the behaviors and cues related to nonverbal communication used by the frontline employees of the respective banks positively affect the perceptions of the customers surveyed, and among the silent cues in this form of communication, body language had the strongest influence on customer perception in service encounters. The study recommended that banks should strive to create a friendly climate in providing service in which work is based on the principle of customer friendship, where nonverbal communication is integrated with verbal.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0970/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Urban Parenting Patterns and Child Development Practices Using Technologically-Smart Devices: Evidence from Karachi

This is the era of technological advancement has affected everyone in the modern world.The trend of modern technological adaptations is speeding in the rural as well as in the urban context and every individual in general and parents of children are adapting its use with their children.Children learn best from sensory development and cognitive skills.The use of these modern technological devices can have both positive and long lasting adverse impact on children's development, learning, cognitive skills, social and emotional development.The recent trend shares high use of technological devices by the parents living in urban context.This study aims at exploring the parenting patterns in the context of use of technology for young children.The use of smart devices have made life easier and difficult at the same time.Excessive use of technology and parental preferences have impacted the life of all stakeholders in general and children in particular.Phenomenology was adopted in the current study as a major research strategy followed by purposive sampling technique.The data was collected from a sample of n = 10 urban parents living in different areas of Karachi employing in-depth interview strategy.The data analysis was done using SPSS.The findings was collated as a part of the research report.
Smartphone-based augmented reality avatars to improve secondary students course engagement

Education has suffered an unprecedented disruption due to the COVID-19 pandemic, impacting the provision of in-person education at all levels worldwide with temporary suspension or limited in-person sessions and the increased use of remote classes. These atypical learning conditions can have potentially harmful effects on students who require more guidance and benefit more from in-person interaction with teachers and other students. This paper presents the design of a solution that uses smartphone-based Augmented Reality (AR) avatars of teachers to improve students' engagement. The approach presented has been designed considering the feedback from teachers and students of Secondary level in Northern Ireland. As most students in developed and developing countries own and regularly use smartphones, we consider that the proposed solution would benefit students in Mexico and other countries.
Similitude Based Segment Graph Construction and Segment Ranking for Automatic Summarization of Text Document

With the increase in the amount of data and documents on the web, text summarization has become one of the significant fields which cannot be avoided in today’s digital era. Automatic text summarization provides a quick summary to the user based on the information presented in the text documents. This paper presents the automated single document summarization by constructing similitude graphs from the extracted text segments. On extracting the text segments, the feature values are computed for all the segments by comparing them with the title and the entire document and by computing segment significance using the information gain ratio. Based on the computed features, the similarity between the segments is evaluated to construct the graph in which the vertices are the segments and the edges specify the similarity between them. The segments are ranked for including them in the extractive summary by computing the graph score and the sentence segment score. The experimental analysis has been performed using ROUGE metrics and the results are analyzed for the proposed model. The proposed model has been compared with the various existing models using 4 different datasets in which the proposed model acquired top 2 positions with the average rank computed on various metrics such as precision, recall, F-score.&#x0D; HIGHLIGHTS&#x0D; &#x0D; Paper presents the automated single document summarization by constructing similitude graphs from the extracted text segments&#x0D; It utilizes information gain ratio, graph construction, graph score and the sentence segment score computation&#x0D; Results analysis has been performed using ROUGE metrics with 4 popular datasets in the document summarization domain&#x0D; The model acquired top 2 positions with the average rank computed on various metrics such as precision, recall, F-score&#x0D; &#x0D; GRAPHICAL ABSTRACT
Improving English Reading Skill through the Directed Reading Thinking Activity (DRTA) Strategy at Nursing Student

Reading is an integral part of the entire learning process experienced by students while studying at school. Reading can increase vocabulary and knowledge of grammar and syntax. DRTA (Directed Reading Thinking Activity) is a technique that encourages students to make predictions while they are reading. The research was to describe the process reading skill understanding and improving, implementing reading strategy (DRTA) at 3rd grade students in the 5th semester of the Bachelor of Nursing study program STIKES Bina Sehat PPNI Mojokerto. The research method was Classroom Action Research (CAR) with one cycle. The result shows that The Directed Reading Thinking Activity (DRTA) strategy can help students understand the contents of the reading. Students also find it easier to answer the questions posed according to the content of the reading and also easier to retell the contents of the reading they have read using their own language according to their understanding.
Uticaj korišćenja emodžija u digitalnoj komunikaciji na razvoj veštačke inteligencije

Emoji are the characters of the first digital pictographic language that was created two decades ago.Today, emojis are an integral part of everyday digital communication, because they are a communication tool that users of many digital platforms can use for free.Emojis are also a simple tool that can be used to test and develop various new technologies, especially in the field of artificial intelligence.Thus, human behaviour and human interaction mediated by emojis become an inexhaustible source of various data, while the users of digitally mediated communication become providers of unpaid services..This study analyses the impact of using emojis in communication mediated by new technologies on the development of artificial intelligence and aims to show how users of various social networks and Internet platforms, through everyday communication with emojis, participate in unpaid work and help the development of artificial intelligence and machine learning.By relying on Marxist terms such as "joint value creation" and "commodification", we try to show how digital platforms can become sites of exploitation and the creation of unpaid work.
SYSTEMATIC SUPPORT FOR THE DEVELOPMENT OF THE PEDAGOGICAL TEAM OF THE COLLEGE

The article states that in order to create a competitive educational institution, management needs to use team management technologies. The research considers the issue of creating systematic support for pedagogical teams, namely assessment and analysis of a number of factors influencing the successful work of the pedagogical team and the formation of systematic support for team development using retrospective techniques and team adjustments.&#x0D; According to the results of the research, which is based on the Michigan model of leadership, the existing difficulties in the functioning of college teams were analyzed. The survey identified that at this stage of development, not all members of the college staff teams have a clear understanding of the overall goal (86.9 %) and the impact of teamwork on the overall result (78.2 %). Their unequal contribution to achieving the goal was also noted (73.9 %). The survey indicates that not all teams have a combination of skills at the highest level, and team members who have certain skills are not always interested in helping colleagues (82.6 %). Teams are quite high spirited and motivated even in difficult periods (82.6 %), the teams hold constructive discussions about misunderstandings and problems, regularly find new opportunities to find information and solve complex problems, appreciate the achievements of colleagues (86.9 %). Thus, it turned out that team leaders motivate not all team members to successfully implement projects (78.2 %), but provide management and prompt feedback, consult with team members to remove obstacles and difficulties in the work and ensure team progress (86.9 %).&#x0D; Given the identified weak spots of the pedagogical teams of the college and the factors influencing their work, systematic support, which consists in the formation of psychological security, constant analysis of team development and retrospectives, swell as models of adjustment for team development to improve their efficiency were created.
PENGGUNAAN MODEL ARIMAX UNTUK MERAMALKAN DATA CURAH HUJAN BULANAN DI BALI

Erratic raifall in the future has a major effect on life.Extreme rainfall can result in vaarious natural phenomena that have a negative impact in various fields work.The aim of this research is to find the best rainfall forecastng model in Bali using ARIMAX modeling, namely the transfer function model with an indeks Nino 3.4 as the input series.The transfer function model is a time series model that combines the regression approach and the ARIMA model for its error.Forecasting results suggest that the rainfall is linearly related to the Nino 3.4 indeks in the previous month.The best rainfall forecasting model has a value Akaike information criterion (AIC) is equal to 1334,629.
RANCANG BANGUN ALAT PENANAM BENIH PADI BERBASIS ARDUINO NANO

This research activity aims to facilitate farmers in the process of planting rice seeds in order to increase agricultural extensification. In this research we use the method of hardware progaming research. This tool is also operated wirelessly by the controller. After undergoing several stages, this research was successfully completed so that the rice seed planter was able to be used by farmers.
ERRATA: Avaliação da resposta inicial de desenvolvimento de ensaios clínicos para COVID-19 no Brasil

[This corrects the article doi: 10.1590/1980-549720200104].
Perancangan Sistem Fire Alarm Kebakaran Pada Gedung Laboratorium XXX

Abstract&#x0D; &#x0D; Fire is a phenomenon that occurs when a material reaches a critical temperature and reacts chemically with oxygen (for example) producing heat, flame, light, smoke, water vapor, carbon monoxide, carbon dioxide, or other products and effects. Fires can occur anywhere, be it in office buildings, residences or public facilities. As for other than in public areas, fires often occur, both in rooms and laboratories, the triggers are almost the same due to negligence and not being careful in using flammable tools. For this reason, the need for a fire detector with a detector system using an alarm so that once a fire occurs, all those in the building can find out through the detector with an alarm sound as a fire marker. In order to reduce casualties, the need for a sprinkler system to extinguish the fire, and can assist the officers or authorities in the building as soon as possible. From the above problems, this research will determine how many detectors and sprinklers are needed, as well as how much water volume, pump power, and ground water tank are needed. This type of research is quantitative research by direct observation of the object under study, then researchers measure the room one by one using a building meter. From the calculation results by taking a sample on the 1st floor, the number of detectors needed is 10 smoke detectors and 3 heat detectors, the number of sprinklers is 47, the volume of water needed is 846 m3, the pump power and ground water tank needed are hydraulic power. pump (HHP) 3,28621 kW, pump shaft power (BHP) 4.38 kW, pump electric power (P) 6 kW, diesel pump (PpD) 4 HP, jocky pump (PJk) 0.6 kW, capacity GWT ( QGWT) 44 m3.
Happy Index and Social Well Being of Russian Students

The article is devoted to the phenomenon of happiness of Russian students, an understudied topic, in contrast to social well-being and its components, including satisfaction with the quality of education and the conditions for receiving it. The results of mass surveys conducted among students of Kazan in 2013-2018 are discussed. The level of happiness, along with the state of health and well-being, is a criterion for the comfort of a given society for life. By analogy with the indices of happiness, which are calculated for residents of countries and cities, the index of happiness of students is calculated. The article shows the relationship between the level of happiness and the ways of daily life of students. Comparison of the obtained data with the index of happiness of Russians shows opposite trends: the index of happiness of Russians from 2013 to the present has been growing steadily, while the index of happiness of students - decreasing. This is probably due to the constant reform of the higher education system and its ambiguous consequences. There are alternative forms of education in addition to the traditional. It can be concluded that the level of students 'happiness is a complex, multi-level phenomenon, which is mainly subjective in nature and depends on many factors, the main of which, in addition to health, are the realistic prospects for professional self-realization, as well as the conditions of students' daily life.
ARCHITECTONICS OF TRADITIONAL AND DISTANT EDUCATIONAL PROCESS

The concept of “architectonics of the educational process” should be one of the key concepts when the traditional and distant educational processes are compared. This is the main systemic view of the educational process to be discussed in this article. The research shows that the differences between the traditional educational process and the distance one can be analyzed, in particular, from the standpoint of such a phenomenon as a “didactic communicative impact” of the teacher on the trainees.