Text analytics on Shiksha Reviews
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This document summarizes a study that performed sentiment analysis on reviews from Shiksha.com to classify reviews of management institutes in Bangalore as positive or negative. 1085 reviews were analyzed with an average overall rating of 4.1, 628 reviews with an average of 4.0, and 718 reviews with an average of 3.5. The reviews were clustered to identify the top performers, second best institutes, and third best institutes. Limitations included the small sample size to build an accurate ranking system. The study concluded by building a sentiment analysis model to classify review sentiments and identify groupings of institutes based on review analysis.
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Comparative Study of Different Approaches for Measuring Difficulty Level of Q...
"Semantics based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions. Formative the difficulty level Of these system generated questions is helpful to successfully make use of them in various learning and specialized applications. The accessible approaches for result the difficulty level of factual questions are very simple and are limited to a few basic principles. We suggest a new tactic for this problem by considering an edifying theory called Item Response Theory IRT . In the IRT, facts skill of end users learners are considered for assigning difficulty levels, because of the assumptions that a given question is apparent differently by learners of various proficiencies. We have done a detailed study on the features factors of a question statement which could perhaps determine its difficulty level for three learner categories experts, intermediates, and easy . Ayesha Pathan | Dr. Pravin Futane ""Comparative Study of Different Approaches for Measuring Difficulty Level of Question"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21532.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/21532/comparative-study-of-different-approaches-for-measuring-difficulty-level-of-question/ayesha-pathan"
Education analytics – reporting students growth using sgp model
Abstract Every part of the education sector is struggling to produce actionable data favorable for their growth. The primary stakeholders of this sector are unable to take effective and productive decisions as the huge amount of data collected is not being processed properly. A lot of striking data are lost in the process as there are no schemas available for extracting the intelligence from them. Various external factors affecting the student’s growth are not identified and thus the parents and teachers fail to understand the real reason behind the student’s performance. Hence to measure student's growth SGP (Students Growth Percentile) can be used. It is also necessary to keep tab on student's future marks so as to take precautionary measure in case of negative growth. Here, time series analysis and forecasting can be used. Regression is use to calculate impact of any external factors on overall performance. When all these identified external myriad data along with the academic data is captured, processed using analytical models such as R. The stakeholders will be able to understand the core reasoning behind progress rate and thus take decisions accordingly. This is the fundamental idea behind Education Analytics. Keywords - Analytics, Education Analytics, Student’s Growth Percentile, Marks Forecasting, Student’s growth
A study model on the impact of various indicators in the performance of stude...
A study model on the impact of various indicators in the performance of stude...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and TechnologyA LEARNING ANALYTICS APPROACH FOR STUDENT PERFORMANCE ASSESSMENT
Due to the increasing interest in big data especially in the educational field and online education has led to a conflict in terms of performance indicators of the student. In this paper we discuss the methodology of assessing the student performance in terms of the success indicators revealing a number of indicators that is recommended to indicate success of the final academic achievement.
Smartphone, PLC Control, Bluetooth, Android, Arduino.
Due to the increasing interest in big data especially in the educational field and online education has led to a conflict in terms of performance indicators of the student. In this paper we discuss the methodology of assessing the student performance in terms of the success indicators revealing a number of indicators that is recommended to indicate success of the final academic achievement
Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews He...
This document discusses topic discovery in online course reviews using LDA (Latent Dirichlet Allocation) while leveraging review helpfulness. It begins by introducing MOOCs (Massive Open Online Courses) and the role of reviews in understanding the teaching-learning process. The authors collect reviews from Class-Central and analyze review features like ratings, lengths, and common words. They classify reviews as helpful or unhelpful using a Naive Bayes model trained on review votes. Finally, the authors propose applying LDA to helpful reviews to discover influential topics discussed by learners related to courses, like "learn easy excellent class program". Results show the proposed method improves LDA perplexity scores. The goal is to understand learner experiences through uncovered topics in
Literature Survey on Educational Dropout Prediction
Educational Data Mining (EDM) is one of the crucial application areas of data mining which helps in predicting educational dropout and hence provides timely help to students. In Indian context, predicting educational dropouts is a major problem. By implementing EDM, we can predict the learning habits of the student. At present EDM has not been introduced at higher education level. Due to this we cannot recognize the genuine problems of students during their education. The objective of this analysis is to find the existing gaps in predicting educational dropout and find the missing attributes if any, which my further contribute for better prediction. After that we try to find the best attributes and DM techniques which are frequently used for dropout prediction. Based on the combination of missing attribute and best attribute of student data thus far, a new algorithm can be tested which may overcome the shortcomings of previous work done.
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A Survey on Research work in Educational Data Mining
A Survey on Research work in Educational Data Mining
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Clustering Students of Computer in Terms of Level of Programming
[IJET-V2I1P2] Authors: S. Lakshmi Prabha1, A.R.Mohamed Shanavas
[IJET-V2I1P2] Authors: S. Lakshmi Prabha1, A.R.Mohamed Shanavas
DATA MINING IN EDUCATION : A REVIEW ON THE KNOWLEDGE DISCOVERY PERSPECTIVE
DATA MINING IN EDUCATION : A REVIEW ON THE KNOWLEDGE DISCOVERY PERSPECTIVE
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Research on use of social media among students of GHPIBM, Vallabh Vidyanagar
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
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A Model of Decision Support System for Research Topic Selection and Plagiaris...
A Model of Decision Support System for Research Topic Selection and Plagiaris...
Educational Data Mining in Program Evaluation: Lessons Learned
Educational Data Mining in Program Evaluation: Lessons Learned
Comparative Study of Different Approaches for Measuring Difficulty Level of Q...
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Education analytics – reporting students growth using sgp model
Education analytics – reporting students growth using sgp model
A study model on the impact of various indicators in the performance of stude...
A study model on the impact of various indicators in the performance of stude...
A LEARNING ANALYTICS APPROACH FOR STUDENT PERFORMANCE ASSESSMENT
A LEARNING ANALYTICS APPROACH FOR STUDENT PERFORMANCE ASSESSMENT
Smartphone, PLC Control, Bluetooth, Android, Arduino.
Smartphone, PLC Control, Bluetooth, Android, Arduino.
Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews He...
Topic Discovery of Online Course Reviews Using LDA with Leveraging Reviews He...
Literature Survey on Educational Dropout Prediction
Literature Survey on Educational Dropout Prediction
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Performance appraisal research design
This document provides an introduction and literature review for a study on employee performance appraisal in selected IT companies in Bangalore, India. The study aims to understand performance appraisal concepts and impacts, examine self-appraisals, identify training needs, and suggest best practices. A literature review found no prior research on this topic. The study will survey 100 employees using random sampling to assess performance appraisal strategies and opportunities in human resource management. Data will be collected through interviews, surveys, and secondary sources, then analyzed using percentages. Limitations include its academic scope and applicable scenario.
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Munassir etec647 e presentation
1) The document discusses big data and learning analytics in education, including how it has been featured in the NMC Horizon Report from 2010-2013. It describes how big data can be used for educational research purposes such as modeling student knowledge, behavior, experiences, profiling student groups, and analyzing learning components and instructional principles.
2) Examples of learning analytics in practice are provided, including Purdue University's Signals project, Saddleback Community College's personalized learning system, and analytics tools used at other universities.
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Comparative Study of Different Approaches for Measuring Difficulty Level of Q...
"Semantics based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions. Formative the difficulty level Of these system generated questions is helpful to successfully make use of them in various learning and specialized applications. The accessible approaches for result the difficulty level of factual questions are very simple and are limited to a few basic principles. We suggest a new tactic for this problem by considering an edifying theory called Item Response Theory IRT . In the IRT, facts skill of end users learners are considered for assigning difficulty levels, because of the assumptions that a given question is apparent differently by learners of various proficiencies. We have done a detailed study on the features factors of a question statement which could perhaps determine its difficulty level for three learner categories experts, intermediates, and easy . Ayesha Pathan | Dr. Pravin Futane ""Comparative Study of Different Approaches for Measuring Difficulty Level of Question"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21532.pdf
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Assessment and Evaluation System in Engineering Education of UG Programmes at...
Assessment is one of the most critical dimensions in engineering education process it focuses not only on identifying how many of the predefined education goals and objectives outcomes have been achieved but also works as a feedback component for educators to upgrade their teaching practices. The assessment can be seen as a link that it forms with other education processes. Lamprianou et al. 2009 point out that assessment is associated with the educational objectives of "evaluation, diagnosis, guidance, selection, placement, administration, prediction or grading. Assessment is one main factors that contribute to a high quality teaching and learning environment and student's performance as whole. It also makes clearer what teachers expect from students Biggs et al., 1999 . The perceived difficulty in this process is how assessment system, approaches and schemes can be standardized and adapted across the premier institutes NITs of in the country. Credit system has been used widely by many HEIs in India for over 20 years but no nationally agreed and rationalized framework of credit and Credit Transfer and Accumulation System is developed. The purpose of the literature review is to outline research studies in the assessment and evaluation systems being practicedand to highlight the studies that can be used in the research project undertaken. Specifically, the literature review attempts to address the following research questions What researches are undertaken nationally and internationally into the assessment system in higher education, especially engineering education What are the key findings from these researches What are the limits delimitations of these researches Are there research findings could be applied to engineering education at UG in NITs in India Are there any prime concern for future research in this area From this literature review, it is apparent that a very few number of studies have been conducted in higher education institutions but no research was found in the context of Engineering Education specific to UG programmes and NITs. However, many innovations are on the way to improvise the assessment and evaluation mechanisms in the engineering education especially in the context of Outcome Based Education OBE . J. P. Tegar | Shreya Gupta "Assessment and Evaluation System in Engineering Education of UG Programmes at Premier Institutes (NITs) in India - A Review of Literature" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30921.pdf Paper Url :https://www.ijtsrd.com/humanities-and-the-arts/education/30921/assessment-and-evaluation-system-in-engineering-education-of-ug-programmes-at-premier-institutes-nits-in-india--a-review-of-literature/j-p-tegar
G017224349
This document summarizes research on educational data mining. It discusses topics such as student modeling, improving educational software, mining assessment data, and generic frameworks/methods. Student modeling research focuses on automatically improving student models and predicting student performance. Research on improving software examines identifying learning behaviors and adapting intelligent tutoring systems based on individual differences. Assessment data mining analyzes optimal/worst-case mastery learning and predicting dropout using social behavior data. Generic frameworks include knowledge tracing approaches and tools for visualizing interaction networks. The conclusion recommends continued collaboration across research, education, and industry to further the field.
Evaluation Of A Research Method
This document discusses evaluating the transfer of learning from educational programs to the workplace. It presents a framework involving people, timing, and strategies to facilitate learning transfer. The framework suggests engaging learners, facilitators, and other stakeholders before and after educational programs. Learners are asked to participate in retention programs designed for their specific needs and learning transfer goals. Funding is also considered to ensure the selected programs can be implemented.
EBUS5423 Data Analytics and Reporting Bl
Distance Learning, Online Teaching [19+ Years]
• Possess substantial strengths in distance learning, adult education, teaching with technology, student and faculty relations, higher education, and curriculum development.
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• Create a safe, respectful, and welcoming learning environment.
• Specialize in working with new students, first generation students, and academically under-prepared students.
• Developed an exceptional record of academic excellence, end-of-course evaluations, collaboration, communication, mentoring, coaching, and professionalism.
• Computer proficient with online classroom platforms that include WebCT, eCollege, Canvas, Sakai, Moodle, Educator, Desire2Learn, Blackboard, Brightspace and others.
Dissertation Chair and Mentor [Remote, 11+ years]
• Provide high quality instruction, direction and mentorship for assigned students throughout all phases of the dissertation process.
• Provide timely and supportive mentoring throughout the student’s process of developing, researching, writing, and revising the dissertation.
• Participate in the Defense process of a student’s Prospectus and final Dissertation.
• Facilitate the successful completion of all IRB protocols.
Faculty Development [Remote, 10+ years]
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• Performed faculty peer reviews and assessed classes based upon best practices and adult learning theories.
• Inspired faculty to improve their facilitation practice by leading online faculty workshops.
Curriculum Development [Remote, 12+ years]
• Authored hundreds of courses as a SME for multiple schools, including undergraduate and graduate courses.
• Strong knowledge and application of adult cognitive learning theories and instructional design methodologies.
• Develop content and assessments that met learning objectives, including discussions and assignments.
Background Includes: Various Online Schools (08/05 – Present)
Online Instructor, Doctoral Committee Member, Dissertation Chair, Faculty Development, Curriculum Development.
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The journal publishes original works with practical significance and academic value. Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management.
Scientific Paper-2
This document proposes using text analytics and the RapidMiner data analytics tool to analyze student data from an online learning environment to predict students' interests in various subject areas. It discusses limitations in current approaches and the need to more accurately understand student interests to refine educational offerings. The proposed approach would collect student data through the UTS online platform and use text analytics and RapidMiner to identify patterns in students' discussions that indicate their interests in different topics. This could help university authorities better tailor course content based on predicted student demand.
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This document outlines a research study that uses data mining techniques to analyze student behavior data from an online course. Specifically, it uses cluster analysis to group students based on similarity of behavior patterns in the learning management system. It also uses decision tree analysis to classify students and identify attributes that influence exam performance. The goal is to gain insights into how recorded student activities in the online platform relate to successful course completion. The study analyzes log file data capturing student interactions from one course during one semester at a university in Croatia. Results from both cluster analysis and decision tree modeling are presented.
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- Within the next 2-3 years, Virginia Tech plans to continue using LEAP essential learning outcomes and authentic assessment while also shifting to more qualitative measures and balancing quantitative measures.
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This document summarizes a study on designing a web-based tracer study management information system for Jenderal Achmad Yani University. The study aims to determine an ideal tracer study design that can facilitate graduate tracking and industry data collection. It involves interviews with universities that have implemented tracer studies. The proposed system would allow real-time online access to graduate data and help evaluate education programs and career development. It is hoped that the centralized tracer study system would benefit graduates, industry, and other stakeholders.
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This document summarizes several recommender systems that have been proposed for university admissions. It discusses hybrid recommender systems that use data mining techniques and neural networks to analyze student data and recommend suitable university programs and admissions. Specifically, it describes a two-part hybrid system proposed by Ragab, Mashat and Khedra that first recommends preparatory tracks for students and then predicts college admissions based on historical GPA data. It also summarizes a composite model using neural networks and decision trees proposed by Simon Fong and Robert P. Biuk-Aghai to classify students and recommend reputable universities. Finally, it provides an overview of several other recommender systems used in e-commerce and web usage that analyze associations and sequences to provide
Recommendation system for e-learning based on personality type and learning s...
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scopus journal.pdf
The International Journal of Mechanical Engineering Research and Technology is an international online journal published Quarterly offers fast publication schedule whilst maintaining rigorous peer review. The use of recommended electronic formats for article delivery expedites the process All submitted research articles are subjected to the immediate rapid screening by editors consultation with Editorial Board or others working in the field of appropriate to ensure that they are likely to be the level of interest and importance of appropriate for the journal.
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This document discusses using machine learning to predict student performance in online learning environments. It reviews studies that have examined online course data to predict student outcomes using machine learning techniques. The studies identified features of online courses used for prediction, outputs of prediction models, methodologies for feature extraction, evaluation metrics, and challenges. Machine learning algorithms commonly used in the studies include logistic regression, naive Bayes, decision trees, AdaBoost, k-nearest neighbor, and neural networks. The document provides an in-depth analysis of different machine learning models and their effectiveness in predicting student certificate acquisition, grades, and students at risk of failure.
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2) It presents a taxonomy of social learning analytics, including social network analysis, discourse analysis, content analysis, analysis of learning dispositions, and analysis of social learning contexts.
3) The discussion emphasizes that social learning analytics should not just track what learners do, but also how the data is used to provide formative feedback and help learners grow, moving beyond just institutional tracking of students.
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一比一原版(Harvard毕业证书)哈佛大学毕业证如何办理
毕业原版【微信:41543339】【(Harvard毕业证书)哈佛大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Text analytics on Shiksha Reviews
- 1. “Text Analytics on Shiksha Reviews to Generate Meaningful Performance Indicators in Management Education” Shanmugapriya K Student, PGDM 2019-21, ISME Under the guidance of Dr. Shampa Nandi (HOD – PGDM) Professor Analytics and Marketing, ISME
- 2. Introduction The internet community in India has grown over 700 Million users in 2020 and is expected to grow in leaps and bounds. Performing text analytics with Educational data is very helpful in addressing issues, analyzing suggestions and finding solutions to the prevailing problems in the education sector. Feedback from the students on faculty, infrastructure, placement or management guide the institution to create a better learning experience. The present study is designed to investigate the learners’ feedback using Sentiment Analysis and Classification model and use Shiksha reviews on Management institutes of Bangalore.
- 3. Literature Review (1) “Sentiment Analysis for Education”: Sentiment Analysis is one of the widely used application of NLP, computational linguistics and text analytics which is also called as subjectivity analysis, opinion mining, and appraisal extraction. (Altrabsheh, Medhat et al., 2018) “University Ranking Prediction System by Analyzing Influential Global Performance Indicators”: This research paper built a data model which predicts and ranks universities by considering global university performance indicators as features. (Tabassum, Hasan, et al., 2017) “Role Of Sentiment Analysis In Education Sector In The Era Of Big Data: A Survey”: Even though big data analytics have been a hot topic in today’s world, the adoption of them in education sector has been slow. This paper discusses the different applications in which big data can be used. (Rao& Baglodi, et al., 2016 )
- 4. Literature Review (2) “Using Feedback Tags and Sentiment Analysis to Generate Sharable Learning Resources”: Sentiment Analysis can also be used to find the difference in perception of opinions and feedbacks from students. This paper investigates the results received from sentiment analysis combined with feedback tags. (Cummins, Burd, et al., 2010) “Do online reviews matter? — An empirical investigation of panel data”: This research considers reviews to be both influencing and influenced factors. Online reviews are endogenous in nature which changes the analysis. (Duan, Gu, et al., 2008) “Short Text Classification in Twitter to Improve Information Filtering”: As short texts do not provide sufficient word occurrences, traditional classification methods such as “Bag-Of-Words” have limitations. To address this problem, we propose to use a small set of domain-specific features extracted from the author’s profile and text. (Bharath Sriram, et.al, 2010)
- 5. Objectives of the study are- Performing Sentiment Analysis on reviews from shiksha.com and classifying the students’ reviews as positive and negative. Matching ratings and reviews and validating the honesty of the reviews. Predicting and building a ranking system of the Management institutes based on learners’ feedback.
- 7. Analysis Classifying Sentiments of the feedbacks: To classify the sentiments of the reviews into positive, negative and neutral, Vader Sentiment Intensity Analyzer is used.
- 8. Clustering Insights: • There are 1085 reviews which has an average of 4.1 overall rating. • 628 reviews with an average of 4.0 overall rating. • 718 reviews with an average of 3.5 overall rating.
- 9. Top Performers: MBA institutes (Colleges in the 2nd Cluster) • Regional College of Management • IIM Bangalore • IBS Bangalore • ISBR Bangalore • WeSchool Bangalore Third Best (Colleges present in the 0th Cluster) • Presidency University, Bangalore • DSCE Bangalore • XIME Bangalore • NMIMS SOM Bangalore Second Best Institues (Colleges present in the 1st Cluster) • East Point Group of Institutions • International Institute of Business Studies • SJB Institute of Technology • Mount Carmel College • ABBS Bangalore
- 10. Cluster 0 Cluster 1 Cluster 2
- 11. Limitations Sample size is quite small to build a ranking system.
- 12. Conclusion A sentiment intensity analyser model is built to classify the sentiments of the reviews. Clustering was done to group the colleges as Top Performers, Second Best Institutes and Third Best.