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  • (PDF) A Survey of Aspect Mining Tools and

    The study and development of such ap- proaches is the objective of the emerging research domains of ‘aspect mining’ and ‘aspect refactoring’ : Aspect Mining is the activity of discovering, in the source code of a given software system, those cross-cutting concerns that potentially could be turned into aspects.

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  • A Survey of Aspect Mining Tools and Techniques

    2005-9-5 · A Survey of Aspect Mining Tools and Techniques Andy Kellens1 Programming Technology Lab Vrije Universiteit Brussel Pleinlaan 2 B-1050 Brussels, Belgium [email protected] Kim Mens D´epartement d’Ing´enierie Informatique Universit´e catholique de Louvain Place Sainte Barbe, 2 B-1348 Louvain-la-Neuve, Belgium [email protected] spect ab

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  • A Survey of Aspect Mining Tools and Techniques

    2017-8-15 · A comprehensive literature survey on aspect mining tools and techniques is presented in this paper. The paper contains the current state of the art about aspect mining techniques. It reports main aspect mining techniques that have been proposed in literature and are used in …

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  • A survey of sentiment analysis techniques | IEEE ...

    2017-2-11 · A survey of sentiment analysis techniques. Abstract: Sentiment analysis is an application of natural language processing. It is also known as emotion extraction or opinion mining. This is a very popular field of research in text mining. The basic idea is to find the polarity of the text and classify it into positive, negative or neutral.

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  • A Survey of Topic Modeling in Text Mining

    2018-12-15 · an aspect model. An aspect model is a latent variable model for co-occurrence data, which associates unobserved class variables with each observation‖ [4]. The PLSA method comes to improve the method of LSA, and also to resolve other problems that LSA cannot do. PLSA has been successful

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  • Chapter 1

    2017-10-30 · A Survey of Opinion Mining and Sentiment Analysis 5 Task 2 (aspect extraction and grouping): Extract all aspect ex-pressions of the entities, and group aspect expressions into clusters. Each aspect expression cluster of entity e i indicates a unique aspect a ij. Task 3 (opinion holder and time extraction): Extract these pieces

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  • Data mining techniques and applications – A decade

    2012-9-15 · In order to determine how data mining techniques (DMT) and their applications have developed in the past decade. This paper reviews data mining techniques and their applications and development from 2000 to 2011. Keywords were used to identify 216 articles concerning DMT applications, from 159 academic journals. A discussion deals with the direction of any future …

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  • Aspect extraction in sentiment analysis: comparative ...

    2007-11-13 · 10.4 Clone Detection Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 10.5 Frequently Used Software Systems . . . . . . . . . . . . . . . . . . . . . . . 63 11 Evaluation of Clone Detection Techniques 64

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  • A Survey on Software Clone Detection Research

    2018-11-28 · Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text documents. Researchers have published many articles in the field of topic modeling and applied in various fields such as software engineering, political science, medical and linguistic science, etc.

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  • A survey of sentiment analysis techniques | IEEE ...

    2017-2-11 · A survey of sentiment analysis techniques. Abstract: Sentiment analysis is an application of natural language processing. It is also known as emotion extraction or opinion mining. This is a very popular field of research in text mining. The basic idea is to find the polarity of the text and classify it into positive, negative or neutral.

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  • Sentiment analysis algorithms and applications: A

    2014-12-1 · Sentiment Analysis (SA) or Opinion Mining (OM) is the computational study of people’s opinions, attitudes and emotions toward an entity. The entity can represent individuals, events or topics. These topics are most likely to be covered by reviews. The …

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  • Top 15 Best Free Data Mining Tools: The Most

    Opinion-mining or sentiment analysis continues to gain interest in industry and academics. While there has been significant progress in developing models for sentiment analysis, the field remains an active area of research for many languages across the world, and in particular for the Arabic language, which is the fifth most-spoken language and has become the fourth most-used language on the ...

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  • A Survey of Opinion Mining in Arabic: A

    2007-9-27 · EDF R&D has developed and implemented data mining techniques to compensate for missing data such as certain “key” customer characteristics [9]. A prototype called DECLIC-L encapsulates these statistical, data mining and exploration processes. DECLIC-L also allows automatic calculation of a predictive model for database enrichment.

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  • A COMPARISON FRAMEWORK FOR DATA QUALITY TOOLS

    2019-3-8 · Aspect-based sentiment analysis (ABSA) is a text analysis technique that categorizes data by aspect and identifies the sentiment attributed to each one. Aspect-based sentiment analysis can be used to analyze customer feedback by associating specific sentiments with different aspects of a …

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  • Guide to Aspect-Based Sentiment Analysis

    2021-7-12 · This comparison data mining tools list contains open source as well as commercial tools. 1) SAS Data mining: Statistical Analysis System is a product of SAS. It was developed for analytics and data management. It is one of the best data mining programs which offers a …

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  • 25 BEST Data Mining Tools & Software for Data

    2007-11-13 · A Survey on Software Clone Detection Research⁄ Chanchal Kumar Roy and James R. Cordy September 26, 2007 Technical Report No. 2007-541 School of Computing

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  • A Survey on Software Clone Detection Research

    2015-1-1 · Among the data mining techniques developed in recent years, the data mining methods are including generalization, characterization, classification, clustering, association, evolution, pattern matching, data visualization and meta-rule guided mining. [2]. As an element of data mining technique research, this paper surveys the * Corresponding author.

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  • Data Mining in Healthcare – A Review - ScienceDirect

    2010-3-29 · Online failure prediction is the key to such techniques. In contrast to classical reliability methods, online failure prediction is based on runtime monitoring and a variety of models and methods that use the current state of a system and, frequently, the past experience as well. This survey …

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  • Surveying in the Mining Sector | GIM International

    2018-1-12 · Mining surveying can be summarised as ‘the digging of mine shafts and galleries and the calculation of volume of rock’, although it entails much more than this in practice. Geometric constraints – e.g. vertical shafts and narrow passages – demand the use of specific survey techniques. While the basic principles of surveying may have ...

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  • Vol. 7, No. 2, 2016 A Survey on Big Data Analytics ...

    2018-12-15 · A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools ... between database systems as well as with analysis tools such as data mining and statistical analysis. These challenges generally ... Section 4 provides an insight to big data tools and techniques. Conclusion remarks are provided in section 5 to summarize outcomes.

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  • Knowledge Discovery in Cryptocurrency Transactions:

    2020-10-2 · Cryptocurrencies gain trust in users by publicly disclosing the full creation and transaction history. In return, the transaction history faithfully records the whole spectrum of cryptocurrency user behaviors. This article analyzes and summarizes the existing research on knowledge discovery in the cryptocurrency transactions using data mining techniques. Specifically, we classify the existing ...

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  • How to Increase Usability and Accessibility of Mine

    2021-7-23 · High-quality terrain models in the mining environment are common and techniques like aerial surveys, laser-scanning, and hand topos have been well established for years. However, these traditional methods often are not easy or cheap to create and are typically only accessible to engineering, geology, and survey teams.

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  • RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES

    2017-3-13 · interest or aspect of a subject matter that he would like to inquire into and then research problem should be formulated. (ii) Extensive Literature Survey: Once the problem is formulated the researcher should undertake extensive literature survey connected with the problem. For this

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  • A survey of online failure prediction methods | ACM ...

    2010-3-29 · Online failure prediction is the key to such techniques. In contrast to classical reliability methods, online failure prediction is based on runtime monitoring and a variety of models and methods that use the current state of a system and, frequently, the past experience as well. This survey …

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  • Geology Supplies, Tools, and Equipment

    Complete Geological Supply (CGS) is a world wide supplier of geological and mining equipment. Complete Geological Supply has been supplying geological and mining equipment for over 40 years. We offer a wide variety of geological, mineral exploration, surveying and mining supplies. We stock the largest range of soil sample bags, chip trays, and ...

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  • What is a survey - Free Online Survey Software and

    2018-3-30 · This paper gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis. This article is categorized under: Fundamental Concepts of Data and Knowledge > Data Concepts; Algorithmic Development > Text Mining

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  • Deep learning for sentiment analysis: A survey - Zhang ...

    2021-7-27 · Surveys and Questionnaires - Guide. A survey is a data gathering method that is utilized to collect, analyze and interpret the views of a group of people from a target population. Surveys have been used in various fields of research, such as sociology, marketing research, politics and psychology. The survey methodology is guided by principles ...

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  • AN ACADEMIC REVIEW: APPLICATIONS OF DATA

    2019-3-12 · An Academic Review: Applications Of Data Mining Techniques In Finance Industry 80 . Machines (SVMs), Artificial Neural Networks (ANNs), Bayesian Classifier, Decision Trees (DTs), and Genetic Algorithms(GAs). In this paper, we survey totally about 200 papers, in the research on data mining technologies for

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  • Data Mining Applications in Healthcare Sector A Study

    2013-10-5 · ABSTRACT: In this paper, we have focused to compare a variety of techniques, approaches and different tools and its impact on the healthcare sector. The goal of data mining application is to turn that data are facts, numbers, or text which can be processed by a …

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  • A Survey of Collaborative Filtering Techniques

    What Is Survey Research? Survey research is a quantitative and qualitative method with two important characteristics. First, the variables of interest are measured using self-reports. In essence, survey researchers ask their participants (who are often called respondents in survey research) to report directly on their own thoughts, feelings, and behaviours.

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  • What are the main methods of mining? | American ...

    2021-7-28 · Survey research is a quantitative method to collect information from a pool of respondents by asking multiple survey questions. Respondents answer a series of questions of a designed survey, that survey makers and researchers use to improve their products or services. Organizations that understand the importance of survey research conduct surveys via phone, email, other online platforms or ...

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  • Overview of Survey Research – Research Methods in ...

    2019-8-19 · The Key Aspects of Data Mining. Data mining technology provides data, systems, tools, and techniques that any business can use to gather, analyze, and process relevant information. It also gives you an insight into how to turn that precious data into useful and fruitful marketing actions. Through data mining for marketing, businesses can:

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  • Data visualization techniques and tools | Digiteum

    2021-7-28 · E&MJ looks at the challenges and innovations in designing and optimizing ground support for deep operations . By Carly Leonida, European Editor. As mines delve ever deeper, geotechnical engineers face a growing challenge: how to keep personnel and equipment safe while supporting development and mining rates in increasingly difficult ground conditions.

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  • A Survey of Collaborative Filtering Techniques

    2015-9-17 · features/techniques and advantages/limitations and (ii) tools with respect to the different techniques used for sentiment ... or an aspect of the entity” from an opinion holder at a specific time [2; 3]. The entity can be a product/service, event, person, ... survey underlines that sentiment analysis/opinion mining play vital role to make ...

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  • Approaches, Tools and Applications for Sentiment

    So in this paper, we first gave a brief introduction on some key concepts of network simulation and network simulators. After that, we introduced four typical network simulators: OPNET, NS2, NS3, and OMNeT++. Their main features, current status and future development are also analyzed and discussed.

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  • A Survey of Network Simulation Tools: Current Status

    2013-9-8 · develop a survey design that will meet the data users’ requirements within the specified resource constraints. The following sections address three key elements of survey design: (a) considerations in the selection of the sample, requirements for determining the needed sample size, and considerations for choosing the appropriate survey media.

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  • Fundamentals of Survey Research Methodology

    2008-12-9 · In one sense, data mining is like business forecasting in that we are looking for-ward in an attempt to obtain better information about future likely events. Companies may be data rich but are often information poor; data mining is a set of tools and techniques that can aid firms in making sense of the mountains of data they already have ...

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  • Chapter 9 Data Mining - University of Notre Dame

    2021-4-26 · How to create a survey using the best survey tools. ... Employee engagement is an important aspect many companies focus on. Engagement in this context can mean different things, but it generally refers to employees’ happiness, connectedness, and feeling of being valued in the workplace. ... Since surveys are often cheap and easy to administer ...

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  • How to Create a Survey - JotForm

    2016-5-28 · Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from the same domain, such that the input feature space and data distribution characteristics are the same. However, in some real-world machine learning scenarios, this …

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  • A survey of transfer learning | Journal of Big Data | Full ...

    2021-7-28 · E&MJ looks at the challenges and innovations in designing and optimizing ground support for deep operations . By Carly Leonida, European Editor. As mines delve ever deeper, geotechnical engineers face a growing challenge: how to keep personnel and equipment safe while supporting development and mining rates in increasingly difficult ground conditions.

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