Reviewerly/exHarmony huggingface dataset:
Sentiment analysis in social media contents using natural language processing techniques

Sentiment Analysis ( SA ) is the field of study that aims at extracting in an automatic way the opinion expressed in a piece of text about a certain subject. This task gained importance in the last decades due to the growth of Internet and the Web 2.0. Since then, numerous platforms arose, such as social networks, electronic shops, blogs, forums, etc., where users could share information and interact with each other, creating new content in the Web every second. All this information became very valuable for companies, who wanted to know what the people thought about their products, as well as researchers, or other users who searched for recommendations about a variety of topics. However, analyzing all this information turned out to be a very hard task, and having a way of extracting useful information in an automatic way became a need. Throughout this thesis, the task of SA is studied at different levels of granularity, which go from extracting the sentiment expressed in a whole sentence to specific aspects of a product or service. This last one is the so-called Aspect-Based Sentiment Analysis ( ABSA ). In this research state-of-the-art systems are developed for dealing with these tasks. The sentiment is classified into positive, negative and neutral and in order to determine it, an unsupervised approach is built, adapted to each specific context with minimal manual intervention, but still competitive even when compared to other supervised approaches. It is based on syntactic dependencies between words and propagation rules according to grammatical constructions, as well as on the construction of polarity lexicons automatically adapted to each particular domain. On the other side, in the part of the study dedicated to ABSA , several subtasks are addressed, which are the aspect extraction, category detection and the extraction of the sentiment expressed towards each of these aspects and categories. Different Machine Learning techniques were applied in this part based on classifiers, as well as unsupervised ones based on syntactic and lexical analysis. Several domains and languages were evaluated for each of the studies developed, including contexts like fashion, politics, restaurants or movies, for both English and Spanish texts, as well as some additional experiments on a French dataset. Moreover, a new domain in the field of ABSA is studied here, which is the context of book reviews. As no resources are available, a new dataset is presented, manually annotated with information related to aspects and sentiments, which is publicly available online. Different kinds of book reviews are analyzed and compared this domain to others widely studied in the ABSA literature. This domain presents new challenges due to the way of expressing opinions about books and the kind of vocabulary used. However, it can be a very useful tool for later improving other applications such as book recommendation, digital libraries or electronic book shops.
Fusing pyramid histogram of gradients and optical flow for hand gesture recognition

Human computer interaction systems based on hand gestures catch the eye of the research community for implementing natural communication between man and machines. However, different persons perform the same gestures differently in terms of velocity and motion scale. This poses a challenging issue in minimising the variations between different persons and maximises the coherence of the same gestures. In this paper, the original pyramid histogram of gradients in three orthogonal planes combining with the dense optical flow to create dynamic descriptor is explored in to discriminate features for recognition of hand gestures. The shape and motion features of images in a video sequence are captured to obtain the geometric and illumination invariant spatio-temporal feature descriptor for classification. A multiclass support vector machine classifier is used to recognise the hand gestures. The proposed method gives an excellent recognition rate and excels the existing approaches.
ANALYSIS OF STUDENTS’ READING COMPREHENSION OF DESCRIPTIVE TEXT AT SMK SANDHY PUTRA 2 MEDAN

This research aims to find out how is the students’ Reading Comprehension of Descriptive Text. And what are their difficulties in Reading Comprehension.The method used in this research is a qualitative method, the research was conducted at SMK SANDHY PUTRA 2 MEDAN with the samples were 35 students  The researcher used five stories of descriptive text and fifty questions about the text, and the researcher used interview test too. The data collection was taken from the sudents’ score. The result of the research showed that there is 0 student or 0% who was categorized exellent, there were 2 students or 5,7 % who were categorized as very good, there were 7 students or 20% who were categorized as good, there were 14 students or 40 % who were categorized as fair, there were 8 students or 22,8 % who were categorized as poor, there were 4 students or 11,4 % who were categorized as very poor. And the researcher found the average by the score was 61,8 % . So, from the result the researcher can conclude that the students were still in the fair category.
Desain Prototyping Sistem Informasi Manajemen Layanan Reservasi Hotel X Berbasis Web

The flow of the leading business processes at the hotel briefly starts when the guest makes the reservation then continues to the confirmation stage and ends the payment process. Along with the increasing number of tickets reservations, there are several obstacles such as there are errors in recording reservations that are not following guest requests, lack of availability of proper room reservation management that will result in the emergence of a sense of dissatisfaction felt by the guests. The receptionist also sometimes still has difficulty in processing data or forms that are always done manually. So to overcome this, it is deemed necessary to make a web-based hotel reservation information system (Wiastuti et al., 2018). In the implementation of this information system design will use the waterfall method. This method is considered suitable because the process is done sequentially or linearly. The final results obtained are the benefits that can be acquired by the hotel where the hotel will be more comfortable in serving the reservation of guests who will stay and minimize the recording errors in the Front Office in recording guest data, and can help in conveying information with media publications about the hotel to guests who will stay overnight.
Transfusionsstrategi – att ge blod på rätt indikation - I Sverige ges fler blodtransfusioner än i jämförbara länder – restriktiv policy ger inte sämre vårdresultat

During the last decade, the varying use and the lack of consistent indications for blood transfusions have been questioned. Comparisons of liberal and restrictive transfusion policies, most often support a restrictive policy. This has led to an evidence-based approach to optimizing the care of patients who might need transfusion, Patient Blood Management (PBM). There is evidence that both anemia and allogeneic blood transfusions are independently associated with increased morbidity and mortality. In elective surgery it is possible to adapt the three pillars of PBM in a structured way; i.e. optimization of red blood cell mass, reduction of blood loss and bleeding, and optimization of the patient's physiological tolerance towards anemia. These activities should be included in the pre-peri- and postoperative routines, in all surgical units. (Less)
IMPLEMENTATION OF A TECHNOLOGICAL ORIENTED APPROACH IN THE SYSTEM OF PROFESSIONAL TRAINING OF ENGINEERS IN TECHNICAL UNIVERSITY

Technologically oriented approach involves focusing the teaching staff on the student - his motives, goals, structure of educational activity, result. It is obligatory to achieve the goal of training in the structure of quality work of the teacher, which is possible provided that the interests of the student, his level of knowledge and skills, orientation of the educational process in accordance with the development of personality. That is, the existing level of students' capabilities and knowledge is initially reflected, at which a new level of growth is being built. Moreover, the implementation of methodical means (organization and techniques, methods, forms, means of studying the educational material) is carried out taking into account the abilities, motives, needs, as well as stimulation of personal intellectual activity without unnecessary fixing of mistakes, failures, development of the student's personality, his cognitive processes, activities. . The teacher has to define the nomenclature of educational actions, during which the pupils will learn the algorithms of educational work, independently learn new knowledge. The main activity of the student - educational, important is the development of intellectual characteristics, ensuring the success of educational activities, social and psychological adaptation and preservation of mental health. Indicator of a favorable functional state of the individual is a proper mental capacity, in the process of which a positive emotional state is achieved. The technologically oriented approach of the process and activity component of the professional training of future engineers is realized through the structure and content of training taking into account the social order, the needs of the labor market, the requirements of the employers of the relevant industry, Ukrainian and international standards. Higher education institutions are focused on the provision of individualized learning, taking into account the maximum satisfaction of mass demand in quality teaching of knowledge
Better connections between business and education via social platform utilizing smart systems

The gap between needs of business and education is ever growing problem. This paper suggest solution for bettering connections between business and education with help of social platform for students and job providers alike. The advantages of one such platform are that users can find best options for their future based on very own personal qualities, interests and experience, from catalog of job offerings detailed in great, the needs of current time business and all that put in neat friendly looking site focused on positive sides of the user and good experience for all parties. The goal of this project can be accomplish using a complex neural network for keeping track of all information flow. The personal qualities and personality type of the students can be determinate with help of personality test based on Carl Jung work. And better user experience can be accomplish with help of little social engineering and appropriate color scheme and overall user interface focused on specific personality of the user.
Further investigation of the performance overhead for hypervisor- and container-based virtualization.

This thesis work aims to find a suitable environment for different virtualization system to achieve enhanced performance. Virtualization plays a vital role in cloud services, and it is essential to help cloud users comprehend the brief distinction between different virtualization technologies. The hypervisor-based technology has been used as the primary selection for cloud services in the past, but container-based virtualization starts receiving more attention and is regarded as the substitution of hypervisor-based technology. This thesis, contains research and discussion of the performance overhead and performance variability overhead that a Virtual Machine or Docker container introduce under certain conditions. The challenge was to find a feasible solution to measure the parameters based on the performance, acting on the CPU, memory, hardware disk, and network throughput on the physical machine. These parameters will be used in the performance comparison of these two virtualization techniques. Moreover, in the 5G network, network function virtualization (NFV) is an efficient solution against the massive traffic, but it suffers from software-based solutions. The main concept in NFV is to decouple the network functions of the dedicated hardware working only for the given purpose. When setting up a virtualization proxy or deploying a web server within a virtual environment, it is necessary to determine if the virtualization method should use hypervisor-based (KVM) or container-based (Docker) technology. Therefore, we need to investigate as a special condition which technique will maximize the network data throughput and minimize the physical machine’s overhead. Our experiment presents the performance overhead when a webserver is running in the KVM and Docker virtualization environment. In most cases, the Docker virtualization performs better. KVM has similar performance overhead as Docker when the network is not under heavy load. (Less)
Basic Geophysics - The Wave Equation

How does a string and a seismic wave oscillate?Derivation of the wave equation in 1D and 3D with the help of puzzle pieces
Eyeball camera based calibration and performance verification for spatial computing systems

Spatial computing enables overlay of the digital world over the real world in a spatially interactive manner by merging digital light-fields, perception systems, and computing. The digital content presented by the spatial computing needs to work tandemly with real-world surroundings, and more importantly the human eye-brain system, which is the ultimate judge for system success. As a result, to develop a spatial computing system, it would be essential to have a proxy for the human eye-brain to calibrate and verify the performance of the spatial computing system. This paper proposes a novel camera design for such purpose which mimics human ocular anatomy and physiology in the following aspects: geometry, optical performance and ocular motor control. Specifically, the proposed camera not only adopts the same corneal and pupil geometry from human eye, also the iris and pupil can be configured with multiple texture, color and diameter options. Furthermore, the resolution of eyeball camera is designed to match the acuity of typical 20/20 human vision, and focus can be dynamically adjusted from 0 to 3 diopters. Lastly, a pair of eyeball cameras are mounted independently on two hexapods to simulate the eye gaze and vergence. With the help of the eyeball cameras, both perceived virtual and real world can be calibrated and evaluated in a deterministic and quantifiable eye conditions like pupil location and gaze. Principally, the proposed eyeball camera serves as a bridge which combines all the data from spatial computing like eye tracking, 3D geometry of the digital world, display color accuracy/uniformity, and display optical quality (sharpness, contrast, etc) for a holistic view, which helps to effectively blend the virtual and real worlds together seamlessly.
BLACK MONEY MONITORING WITH SECURED CLOUD DATA STORAGE USING BIG DATA ANALYSIS AND BLOCKCHAIN TECHNOLOGY

One of the challenge in cloud computing is that cloud vendors may provide varying and possibly incompatible ways to isolate and interconnect virtual machines located in different cloud networks. To overcome this issue we have proposed a mechanism called as tenant mechanism which means a group of users share a common access with some specific privileges. In order to store Sensitive data we have used Private Cloud data storage ad similarly for public data we used Public data storage. With Cloud computing and Big data analysis, we have implemented Block chain concept for monitoring money exchange and also in identifying overall user behaviour with personal identification by integrating all customer transactions like banking transaction that exceeds more than Rs. 50,000, Land Registrations, Gold Purchase or any foreign money exchange to avoid Black Money transactions.
Proposal for Interactive Robot Eyes to Achieve Eye Contact between Humans and a Robot

Japan is dealing with a significant decrease in the birth rate and a significant increase in the proportion of its elderly individuals. There is a shortage of overall workers, and there is concern about the lack of caregivers. As one solution for this problem, nursing care robots are drawing attention. Language is an important element in communication between humans and robots, and nonverbal communication such as lines of sight and gestures is also important. Our research on lip movements has revealed that changes in a person's lip movements are influenced by his or her daily physical condition. We have been studying a system that can evaluate human emotion and a human's physical condition based on the human's gaze and lip movements. We are attempting to design a conversational robot that can be used to reduce the burden on caregivers. In the present investigation, we focus on eyes that would be incorporated in a robot, and we designed an eye movement system to realize eye contact between the robot and humans.
The Correlation between Students’ Reading habit and Students’ Writing Ability at Tenth Grade of SMK Bina Karya Kabupaten Tangerang in Academic Year 2019/2020

Abstract The purpose of this study is to know the correlation between students’ reading habit (X) and their writing ability in narrative text (Y) at eleventh grade of SMK Bina Karya Kab. Tangerang in academic year 2019/2020. There were 30 students taken as the sample of this study who were determined by using random sampling technique. The collected data were analyzed by using Pearson Product Moment Correlation and the instruments used were students’ writing test and questionnaire of students’ reading habit. Subsequently, the research finding indicated that there is low correlation between students’ reading habit and their writing ability in narrative text. It is considered that alternative hypothesis (Ha) in this research is rejected and the null hypothesis (Ho) which stated that there is correlation between students’ reading habit and their writing is accepted. In conclusion, the result of hypothesis test between students’ reading habit and writing ability in narrative text of the eleventh grade at SMK Bina Karya Kab. Tangerang shows a positive correlation. There is low correlation between students’ reading habit and their writing ability in narrative text at SMK Bina Karya Kab. Tangerang with r-coef=0,213.Keywords: correlation study, narrative text, reading habit, writing ability
영어I-II 교과서와 대학수학능력시험 영어 영역 읽기 파트에 나타난 등급화된 단어의 분포

Given the fact that the English Section of the College Scholastic Ability Test (CSAT) is based on the High School English Ⅰ-Ⅱ textbooks, we address the question of whether the vocabulary use in actual CSAT English reading parts and the textbooks is consistent across the materials. To this end, we seek to answer this question by relying on measures of lexical sophistication and density and lexical diversity. Chi-square tests on graded word tokens and content vs. function words show that the High School English Ⅰ-Ⅱ textbooks differ significantly not only from each other but also from the 2017 and 2018 CAST English reading parts. This finding suggests that inasmuch as vocabulary is concerned, many High School English I-II textbooks could be inefficient for the preparation of the CSAT English reading test because they provide too many or not enough advanced words to study, despite the fact that as for lexical diversity, the textbooks and the CSAT parts do not seem to differ significantly.
Application of Number in Secure Data Transmission

Within the transmission causation information while not security suggests that the probabilities of knowledge hack.  To come back out from this drawback out of the many ways, this can be one in every of them that is Introduced.  Within the universe, it's troublesome to transmit information from one place to a different with security. Cryptography is that the one in every of the most effective technique within the information transmission, that provides confidentiality of the transmitted information. During this paper Armstrong range is employed as secret key for encoding and decoding method. to create the Authentication between two meant users in conjunction with the safety, server is employed.  With the assistance of server, each sender and receiver can get valid. Then actual information may well be transmitted by any of the suggests that.
Incorporating Prior Knowledge into Speaker Diarization and Linking for Identifying Common Speaker

Speaker Diarization and Linking discovers “who spoke when” across recordings without any speaker enrollment. Diarization is performed on each recording separately, and the linking combines clusters of the same speaker across recordings. It is a two-step approach, however it suffers from propagating the error from diarization step to the linking step. In a situation where a unique speaker appears in a given set of recordings, this paper aims at locating the common speaker using the prior knowledge of his or her existence. That means there is no enrollment data for this common speaker. We propose Pairwise Common Speaker Identification (PCSI) method that takes the existence of a common speaker into account in contrast to the two-step approach. We further show that PCSI can be used to reduce the errors that are introduced in the diarization step of the two-step approach. Our experiments are performed on a corpus synthesised from the AMI corpus and also on a in-house conversational telephony Sichuanese corpus that is mixed with Mandarin. We show up to 7.68% relative improvements of time-weighted equal error rate over a state-of-art x-vector diarization and linking system.
Simplified Agile Software Project Selection Model Using Natural Language Processing Based Upon Agile Team Skills

Every software development project is unique but still shares some similarities with other projects in terms of domain, database used, programming language employed, etc. Based upon which a lot of work has been done so far to predict project size, efforts required, budget required to build the software project using historical data. But, a very less attention has been given in modeling world to analyze the skills of agile team responsible for software project development. Hence, this paper suggests a simplified agile software project selection model using natural language processing based upon the agile team skills named as "Stair-case Model". After all it is the capability of agile team to deliver the project on time within budget. A strong skilled agile team having relevant experience has brighter chances to deliver the quality project on time and vice-versa.
Moderating Effect of Childcare Teachers' Role Conflict on the Relationship Between Professionalism Perception and Teacher Efficacy: Focused on Teachers Having Children

The purpose of the study was to examine the moderating effect of childcare teachers’ role conflict on the relationship between their professionalism perception and teaching. The subjects were 365 childcare teachers who had children. They were asked to complete the survey on professionalism perception, role conflict in women, and teacher efficacy along with their background information. The collected data were analyzed using SPSS version 24.0 software. Descriptive, Pearson’s correlation analyses, and a hierarchical regression analysis were conducted. As results, first, the childcare teachers with high professionalism perception showed high teacher efficacy, and the childcare teachers with high role conflict showed low teacher efficacy. Second, there was the moderating effect of role conflict on the relationship between professionalism perception and teacher efficacy.