Reviewerly/exHarmony huggingface dataset:
GOOGLE PLAY STORE USERS COMMENT REVIEW CLASSIFICATION USING SVM CLASSIFIER AND RANDOM FOREST

In today's digital age, social media stands as a dynamic arena where individuals freely express their thoughts and opinions, from succinct tweets on Twitter to expansive narratives on platforms like Facebook and Instagram. However, amidst this vast sea of user-generated content, a glaring void persists a definitive rating system capable of distilling the nuanced sentiments embedded within these diverse commentaries. This study thus emerges as a pioneering endeavor, poised to bridge this crucial gap in sentiment analysis. Leveraging the transformative potential of the Word2vec methodology in the preprocessing phase, researchers embark on a comprehensive journey to classify comments on a meticulous 1-5 rating scale, thereby unraveling the multifaceted spectrum of sentiments encapsulated within them. Complementing this groundbreaking approach, the Random Forest classification model is harnessed to bolster the analytical prowess of the study. The resultant accuracy score of 60.4% stands as a testament to the study's significant strides towards achieving a deeper understanding of comment sentiment in the realm of social media. However, this is merely the inception of a promising trajectory; the study's findings hold the promise of not only refining sentiment analysis techniques but also revolutionizing diverse sectors, from market research to product development. With this study, the narrative of sentiment analysis transcends the confines of academia, beckoning forth a new era of nuanced comprehension and meaningful engagement within the sphere of social media commentary. As the study concludes, it leaves behind a compelling call to action, inviting further exploration and innovation in this dynamic field.
Urgency of Deaf Students and their Efforts to Improve Writing English Skills

The management of the Ngurah Rai Grand Forest Park shows a dualist side. The plan to hand over the management of the Ngurah Rai Grand Forest Park to the Regional Government of Bali has effected a grassroots conflict regarding the customary rights of the local community. This study aims to design a model of participation for coastal communities in the Ngurah Rai Grand Forest Park, Pemogan Village. This research uses the Ladder of Citizen Participation theory (Arnstein, 1969) as the main theory and the Evolutionary Model of Tourism Partnerships as the supporting theory (Jamal &amp; Getz, 1995) and also the concepts of participation, partnership, CBT, social capital, and government regulation. Data collection techniques used observation, structured interviews, and FGD. This study used the technique of qualitative research data analysis (Sugiyono, 2011)This research shows that community participation has developed through some stages such as (a) non-participation; (b) tokenism; (c) citizen power. The form of community participation is Community Based Participation implemented by the Fishing Community Group of Simbar Segara and Mina Lestari Batu Lumbang. And the other hand Government-Based Participation is implemented by the Mangrove Information Center. The finding of this research is the Mix-Based Participation Model. The recommendation is that the government should take the role of mediator to solve various conflicts at the grassroots level due to the traditional claims of the management of Ngurah Rai Grand Forest Park by two customary villages i.e. Pemogan and Kepaon.
Multiple Distilling-based spatial-temporal attention networks for unsupervised human action recognition

Unsupervised action recognition based on spatiotemporal fusion feature extraction has attracted much attention in recent years. However, existing methods still have several limitations: (1) The long-term dependence relationship is not effectively extracted at the time level. (2) The high-order motion relationship between non-adjacent nodes is not effectively captured at the spatial level. (3) The model complexity is too high when the cascade layer input sequence is long, or there are many key points. To solve these problems, a Multiple Distilling-based spatial-temporal attention (MD-STA) networks is proposed in this paper. This model can extract temporal and spatial features respectively and fuse them. Specifically, we first propose a Screening Self-attention (SSA) module; this module can find long-term dependencies in distant frames and high-order motion patterns between non-adjacent nodes in a single frame through a sparse metric on dot product pairs. Then, we propose the Frames and Keypoint-Distilling (FKD) module, which uses extraction operations to halve the input of the cascade layer to eliminate invalid key points and time frame features, thus reducing time and memory complexity. Finally, the Dim-reduction Fusion (DRF) module is proposed to reduce the dimension of existing features to further eliminate redundancy. Numerous experiments were conducted on three distinct datasets: NTU-60, NTU-120, and UWA3D, showing that MD-STA achieves state-of-the-art standards in skeleton-based unsupervised action recognition.
DEVELOPING SALES FORCE AUTOMATION PROTOTYPE AT INDONESIAN FURNITURE TRADING COMPANY

Information technology plays a crucial role in enhancing company performance and driving business growth. Maintaining good customer relationships is essential, and Customer Relationship Management focuses on building customer commitment. Sales Force Automation systems automate sales processes and manage customer interactions. PT. Maju Jaya Kreasindo, a furniture company in East Jakarta, aims to automate its sales force and centralize operational information through a web-based Sales Force Automation system using Electronic Customer Relationship Management. The research adopts the "Prototyping" method, offering a shorter development duration and flexible implementation. Visual Studio Code and Xampp, along with PHP and MySQL, are utilized as development tools. The result is a Sales Force Automation system based on Electronic Customer Relationship Management that assists PT. Maju Jaya Kreasindo in automating its sales force. The design successfully automates tasks, supported by Electronic Customer Relationships and the prototyping method. The Sales Force Automation system passed the functionality evaluation, achieving high user acceptance test scores, and indicating its effectiveness in meeting user requirements.
Pengaruh Penggunaan Media Visual Oleh Guru PAK Terhadap Motivasi Belajar Pendidikan Agama Kristen Siswa Kelas V SD Negeri 173210 Sigotom Kecamatan Pangaribuan Kabupaten Tapanuli Utara Tahun Pembelajaran 2022/2023

The aim of this research is to determine the positive and significant influence of the use of visual media by PAK teachers on the learning motivation of class V students at SD Negeri 173210 Sigotom, Pangaribuan District, North Tapanuli Regency for the 2022/2023 Academic Year. The method in this research is a descriptive quantitative research method. The population is all class V students of SD Negeri 173210 Sigotom, Pangaribuan District, North Tapanuli Regency, 2022/2023 Academic Year, totaling 32 people. Data was collected using a positive closed questionnaire with 31 items, namely 15 items for variable North Tapanuli Regency 2022/2023 Academic Year: 1) Test analysis requirements: a) positive relationship test obtained rxy = 0.558 &gt; rtable(a=0.05,n=32) = 0.349. b) Testing a significant relationship obtained tcount= 3.686 &gt; ttable(a=0.05, dk=n-2=30)= 2.042. 2) Influence test: a) Regression equation test, obtained the regression equation Y ̂="23.69"+0.61X. b) Regression coefficient of determination test (r2) = 31.2%. 3) Test the hypothesis using the F test to obtain Fcount &gt; Ftable=(a=0.05, dk numerator k=14, dk denominator=n-2=32-2=30) namely 13.59 &gt; 2.01. Thus Ha is accepted and H0 is rejected.
Pengaruh Model Pembelajaran Two Stay to Stray (TS-TS) Oleh Guru PAK Terhadap Motivasi Belajar Siswa Kelas VIII SMP Negeri 3 Lintong Nihuta Kabupaten Humbang Hasundutan Tahun Pembelajaran 2023/2024

The aim of this research is to find out whether there is a positive and significant influence of the Two Stay Two Stray (TSTS) learning model on the learning motivation of class VIII students at SMP Negeri 3 Lintong Nihuta, Humbang Hasundutan district for the 2023/2024 academic year. The method used in this research is a quantitative research method with a pre-experimental design research type in the form of "One Shot Case Study". The population was 177 students from class VIII of SMP Negeri 3 Lintong Nihuta for the 2023/2024 academic year and a sample of 32 people was determined using a purposive sampling technique. Data was collected using an observation sheet with 19 items for variable SMP Negeri 3 Lintong Nihuta, Humbang Hasundutan district, 2023/2024 academic year: 1) Test analysis requirements: a) Test a positive relationship, the value of rxy = 0.595 &gt; rtable(=0.05,n=32) = 0.349. b) Testing a significant relationship obtained a value of tcount= 4.050 &gt; ttable(=0.05,dk=n-2=30)= 2.042. 2) Influence test: a) Regression equation test, obtained the regression equation Y ̂="7.36"+0.29X. b) Regression coefficient of determination test (r2) = 35.4%. 3) Test the hypothesis using the F test to obtain Fcount &gt; Ftable=(=0.05, dk numerator k=8, dk denominator=n-2=32-2=30) namely 16.36 &gt; 2.27. Thus Ha is accepted and H0 is rejected.
Ordination-based verification of feature selection in pattern evolution research

This article explains the idea of pattern systems that develop gradually. These systems involve symbolic communication that includes symbols, syntax, and layout rules. Some pattern systems change over time, like historical scripts. The scientific study of pattern systems is called pattern evolution research, and scriptinformatics is concerned with the modelling of the evolution of scripts. The symbol series consists of symbols from a pattern system, while the graph sequence is a symbol sequence applied with a specific technology. This article describes a method for examining tested pattern systems to confirm their classification, which focuses on more ancient features. The method’s effectiveness was tested on Rovash scripts and graph sequences. Multivariate analysis was carried out by using PAST4 software, employing principal coordinates analysis ordination and k-means clustering algorithms.
The optimization of human resource management system on alleviation of teachers’ psychological stress in higher education institutions

Background With the development of modern education, the psychological stress of young teachers in colleges and universities has been highly emphasized. Subjects and Methods The research will start from three aspects: performance management system, human resource planning, and teacher career management in the human resource management system of universities. In response to the psychological pressure of teachers, five universities will be selected to analyze and study the current situation of human resource management in universities through a combination of survey questionnaires and interviews. The existing problems and reasons will be analyzed. Based on the analysis results, effective optimization plans will be proposed for the human resource management system in universities. Results The results indicate that the main reasons for the psychological pressure of university teachers are the adherence to regulations in the human resource management system, the lack of quantitative accumulation of human resource data, and the neglect of teacher career management. Based on the analysis results, the study designed optimization plans from the aspects of human resource strategic planning system, salary and welfare management system, and teacher career management system. At the same time, the study also established relevant implementation guarantee measures based on the optimization plan to ensure the feasibility of the optimization plan for the human resource management system. Conclusions The study analyzes the relationship between human resource management system and teachers’ psychological pressure in colleges and universities, puts forward the optimization plan of the management system from three levels, and ensures the effective implementation of the optimization plan through the actual work, which is of certain practical reference significance.
Three-dimensional Japanese text translation teaching on college students’ foreign language learning anxiety

Background The anxiety of college students in learning a foreign language may affect their learning results, so it is very important to find effective teaching methods to alleviate the anxiety. This study explores the effects of Japanese text translation teaching based on three-dimensional transformation on college students’ foreign language learning anxiety. Subjects and Methods 100 undergraduate students majoring in Japanese in a university were randomly divided into test group and control group, with 50 students in each group. The test group received Japanese text translation teaching based on 3D conversion, and the control group received traditional text translation teaching. Anxiety questionnaire was used to assess the anxiety level of students, and the data were statistically analyzed by SPSS23.0. Results The statistical analysis showed that the level of foreign language learning anxiety of the test group was significantly lower than that of the control group ( t =3.42, P &lt; 0.05). Specific data showed that the average anxiety score of the test group was 3.55, and the average score of the control group was 4.27. In addition, students in the test group performed better in translation accuracy (test group: 83%; Control group: 76%). Conclusions Japanese text translation teaching based on 3D transformation can effectively alleviate the anxiety of college students in foreign language learning. Through interactive and immersive learning experiences, students can better understand and apply language knowledge, thereby reducing anxiety levels. Adopting this teaching method can improve foreign language teaching and enhance students’ learning effect and experience. Acknowledgement 2022 Yancheng College of Technology Teaching Reform Research Projects (No.JYKT2022B060).
Innovative college English teaching models in cognitive linguistics on students’ attention deficit

Background In college English classrooms, some students may experience distractions such as unconsciously deserting and being absent-minded. The symptoms of this type of attention deficit are generally formed from a young age and do not disappear with age. The concentration of attention in English learning plays a crucial role in improving learning efficiency. Therefore, it is particularly important to study the positive effects of innovative college English teaching models in cognitive linguistics on students’ attention deficit. Subjects and Methods In order to verify the effectiveness of the innovative college English teaching model in cognitive linguistics, the study used two classes as experimental subjects. One of them was the experimental class using the innovative college English teaching model for teaching, and the other was the control class using conventional teaching. Observe and analyze the classroom distraction time of the two classes in teaching. Results There is a significant difference in the distraction time between the two classes, with the average distraction time of the experimental class being 13.09 min, while the average distraction time of the control class is 18.69 min. The distraction time of the experimental class has decreased by 29.96% compared to the control class. Conclusions The attention of students in the experimental class is more concentrated compared to the control class, so the innovation of college English teaching mode in cognitive linguistics has a positive effect on students’ attention deficit. Acknowledgement A general project of philosophy and social science research projects in Colleges and Universities of Jiangsu Province in 2022 (No. 2022SJYB0836v); A key project of the “14th Five-year Plan” research projects for education and science of Jiangsu province in 2021 (No. C-b/2021/03/15); A research team program of Jiangsu Open University (No. 22-KYPT-Z07).
Virtual reality ideological and political games on students’ anxiety disorders

Background Anxiety Disorder (AD) is a disorder characterised by excessive fear anxiety and related disturbing behaviour. Virtual reality (VR) technology has been applied in many fields because of its multi-sensory, visualisation and immersive interactivity. Therefore, the study proposes to combine VR technology with Civic Education and help students to better improve their anxiety disorders by designing Civic Games under VR experience. Subjects and Methods Students suffering from anxiety disorders were taken as research objects and randomly divided into an experimental group (VR teaching experience group) and a control group (conventional Civics teaching group). Both groups of patients were guided by classroom education to control students’ psychological conditions and emotions. In the experimental group, VR teaching is assisted by VR games or VR scene experience. The experimental intervention time was six weeks, and the experimental data were statistically analysed with the help of the Self-Assessment Scale of Anxiety (SAS) and the Hamilton Anxiety Scale (HAMA). The difference was statistically significant at P &lt;0.05. Results After the experimental intervention, it was found that there was a significant statistical difference in SAS scores between the two groups of students ( P &lt;0.05), and the relief of anxiety disorder symptoms in the experimental group was significantly better than that in the control group. Conclusions The use of VR technology has broad development prospects. It can effectively help students alleviate their anxiety state, and its combination with ideological and political education also enables students to have a clearer understanding of their emotional changes. Acknowledgement Scientific Research Program Funded by Shaanxi Provincial Education Department (No.22JK0587).
Research on Recitation Strategy of Ancient Poetry

The formulation and implementation of the new curriculum standard reform plan in the compulsory education stage has prompted many education experts, scholars and front-line teachers to pay more and more attention to improving the learning level and developing good learning habits of students of different ages and different students. Through the detailed study of the new curriculum standard reform plan, it can be found that the country has put forward more and more specific requirements for students’ ability to read classical ancient poems and essays. As a front-line teacher, we should grasp the new trend of education and teaching reform, and try our best to provide students with some positive and effective strategies in the daily education and teaching process, so as to stimulate their interest in reading classical ancient poems and enhance their ability in reading ancient poems and essays. This paper describes how to adopt effective strategies to improve students’ ability to read classical ancient poems and essays.
Innovations in Pedagogy: Methodology for Organizing the Individual Educational Trajectory of Students for General Education Institutions

The review presents a comparative analysis of the concepts of individualization of the educational process, as well as technologies for designing individual educational trajectories. Analysis of the problem field of research shows that the approaches and pedagogical conditions for individual self-realization of students for secondary schools are not sufficiently systematized. The novelty of the work lies in the fact that the studied problem of individual self-realization of students contributes to the development of the concept of pedagogy of individuality. In particular, the issue of methodology for organizing individual educational trajectories of students has been worked out, psychological and pedagogical approaches for various age groups have been identified, and also presents the results of functioning of a multidisciplinary educational center and features of the organization of the educational process in the concept of individual educational trajectories. Theoretical methods include methods of induction and deduction, methods of comparative analysis and synthesis of information, as well as various forms of questionnaires. As empirical research methods, monitoring and diagnostic activities (exams, testing, questionnaires, observation) were carried out at different educational stages, allowing to evaluate the effectiveness of the proposed pedagogical technologies.
Building up Students’ Reading Comprehension Through Strategy Using Authentic Materials at Senior High School

Building up Students’ Reading Comprehension through Peer Review Strategy using Aunthentic Materials at SMP Negeri 10 Palopo. The objective of this research was to find out the effectiveness of Peer Review Strategy using Aunthentic Materials in teaching reading comprehension at SMP Negeri 10 Palopo. The researcher applied pre-experimental design. The population of this research was the eighth grade students of SMP Negeri 10 Palopo. The total number of population was 247 students. In determining the sample, the researcher used cluster random sampling technique and the researcher took 24 students as sample. The instrument of this research were reading test. The result of the research shows that the use of Peer Review strategy using Authentic materials is effective in teching reading comprehension. It is proven that the mean score of the pre-test is 53.08 and the mean score of the post-test is 70.96. The standard deviation of pre-test is 16.795 and the standard deviation of post-test is 15.730. While t-test = 0,000, (α) = 0.05. It means that t-test is smaller than (α), so there is a significant different between pre-test and post-test of students reading comprehension before and after the researcher gave the treatment. It is showed that the null hypothesis (Ho) is rejected, while the alternative hypothesis (H1) is accepted. Therefore, it can be conculded that Peer Review Starategy in Authentic Materials is effective in teaching reading comprehension.