TEXT MINING IEEE PAPERS AND PROJECTS-2020
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.
Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost Discovery Challenge ChAT: CoolStoryBob
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In this paper we describe our approach to solve the text classification problem of the Chat Analytics for Twitch (ChAT) discovery challenge of ECML-PKDD 2020. The task was to predict the subscription status of Twitch users for a given channel based on their comments
A Summarization on Text Mining Techniques for Information Extracting from Applications and Issues
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Nowadays, text mining research has become one of the broad areas of research of natural language documents. A comprehensive overview of text mining and existing research status are discussed in the results of this study. The discovery of relevant patterns and trends for Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining methodBackground Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information in individual case safety reports(ICSRs) Research and development (RD) in many technological areas is characterized by growing complexity. In biomedical engineering, too, interdisciplinary collaboration is regarded as a promising way to master this challenge. Therefore, identifying suitable experts becomes
Analysis of online news coverage on earthquakes through text mining
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News agencies work around the clock to report critical news such as earthquakes. We investigate the relationship between online news articles and seismic events that happen around the world in real time. We utilize computer text mining tools to automatically harvest
Thai Twitter Sentiment Analysis: Performance Monitoring of Politics in Thailand using Text Mining Techniques
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Social web-based life involves an enormous amount of data. It is utilised for correspondence reasons. Individuals can impart insights, thoughts, musings, feelings, emotions, proposals, and individual exercises. Twitter is a direct result of basic words. It communicates learned
Text mining services of the Swiss variant interpretation platform for oncology
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The Swiss Variant Interpretation Platform for Oncology is a centralized, joint and curated database for clinical somatic variants piloted by a board of Swiss healthcare institutions and operated by the SIB Swiss Institute of Bioinformatics. To support this effort, SIB Text Mining
Applications, Issues and Challenges in Text Mining
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Fast progress in automated information ensuring about strategies have incited gigantic volume of information The disclosure of sensible models and guides to isolate the substance reports through information is a noteworthy issue. It is a strategy for expelling beguiling and
GAMIFICATION AND INTERDISCIPLINARY SCIENTIFIC RESEARCH: SCIENTIFIC TEXT MINING
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This study investigates the issues of forming the terminological base of interdisciplinary areas of scientific research to discover new knowledge, to make the prediction, such as to identify the public discourse effects on the dynamics of scientific interests. The goals of this
Scientific Literature Information Extraction Using Text Mining Techniques for Human Health Risk Assessment of Electromagnetic Fields
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This paper presents a scientific literature information extraction architecture using text mining techniques to assess the human health risk of electromagnetic fields (EMFs) generated by wireless sensor devices in Internet of Things (IoT). The proposed architecture
Optimizing Literature Search: TEMAS, A New Text Mining Algorithm-Assisted Search Tool
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Background: Literature search is challenging when thousands of articles are potentially involved. To facilitate literature search we created TEMAS a Text Mining Algorithm-assisted Search tool that we compared to a PubMed reference search (RS) in the context of
KDD20 Tutorial: Scientific Text Mining and Knowledge Graphs
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Unstructured scientific text in various forms of textual artifacts, including manuscripts, publications, patents, and proposals, is used to store the tremendous wealth of knowledge discovered after weeks, months, and years, developing hypotheses, working in the lab or
FOUR TEXT MINING METHODS FOR MEASURING ELABORATION
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When individuals engage in divergent thinking, they vary on their Elaboration, or the degree to which they explain and embellish their responses. Although Elaboration has been considered relevant to creativity research for decades, its measurement has remained under
Knowledge discovery of scholarly publications on misinformation on social media: A text mining approach
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Social media is a remarkable outcome of Web 2.0 technology, which is very popular among the Internet users. The general public is using social media as a communication media to fulfil their information requirements on various occasions such as disaster communication
Sharks and minnows in a shoal of words: Measuring latent ideological positions of German economic research institutes based on text mining techniques
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Using corpora of business cycle report sections dealing with monetary and fiscal policy issues from 1999 to and using methods of unsupervised text scaling (Slapin and Proksch; Lauderdale and Herzog), namely Wordfish and Wordshoal we scale
Mining the Text using Association Rule Mining Technique
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MM Lwin, MT Tun uit.edu.mm As the amount of text available in electronic form continues to increase at alarming rate, the tools to manage these textual resources effectively will become critical. Information Retrieval System tries to save the users access time by classifying the documents and clustering the
Accident Severity Prediction on narrative reports using text mining
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Train accidents have a great impact on society because of the trauma, injuries, fatalities and the associated costs. This project presents an analysis of significant train accidents occurring in world from to 2015. Collision accidents generally lead to more casualties
Text Mining Technique for Driving Potentially Valuable Information from Text
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With the growing number of digitized documents and having large text databases, text mining will become increasingly important. Text mining can be a huge benefit for finding relevant and desired text data from unstructured data sources. Text Mining is the discovery
Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining
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Though the strong evolution of knowledge learning models has characterized the last few years, the explanation of a phenomenon from text documents, called descriptive text mining is still a difficult and poorly addressed problem. The need to work with unlabeled data
MEASURING CONTRIBUTION OF IMPACT OF MODERN SPATIAL INFORMATION TECHNOLOGIES TO ENVIRONMENTAL RESEARCH USING TEXT MINING
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This study aimed to quantitatively analyze the trends of environmental research that utilizes environmental spatial information using a text mining technique. The analysis was conducted on a total of 869 papers published in Korea based on 20 environmental spatial
An Analysis of Blockchain-related Issues and Importance Using Text Mining : Focused on News, Web Site, and Academic Field
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Blockchain is emerging as a technology that can secure mutual trust as well as cryptocurrency As interest in Blockchain is increasing, previous studies have mainly focused on cryptocurrency related to Blockchain technology. However, there is a limit to explain
Discovering Patients Voice on Social Network Service: Web Scraping and Text mining
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a major challenge in dermatology. Vitiligo profoundly affects the daily lives of patients, but the patients concerns and distress are often undervalued. CONCLUSION Web scraping and text mining from social network services allow us to discover the patients voice directly. The
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
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There is growing interest in the tasks of financial text mining . Over the past few years, the progress of Natural Language Processing (NLP) based on deep learning advanced rapidly. Significant progress has been made with deep learning showing promising results on
Understanding Customer Experience of Airline Lounge Using Text Mining of Online Review
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In spite of the recent economic depression, numbers of airline passengers had increased by about 7% every year since 2015. However, the net profit per airline passenger had decreased by $10 in 201 $9 in and 201 and it was estimated at only $7.4 forThe problem faced by 21st systems engineers is the integration of multiple complex systems, referred to as a system of systems (SoS), where different constituent, contextual specificity, legacy, or new systems integrate to achieve an emergent mission or deliver the new
Use of Text Mining Technique in Doing Trend Analysis of the Internet Articles for Nuclear Energy
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SY Jeong, JW Kim, YS Kim, HY Joo, JH Moon journal-home.s3.ap-northeast-2 Because use of nuclear energy is highly influenced by the public acceptance, it is necessary to identify the peoples perception in establishing the policy for the use of nuclear energy . However, there is actually no way to check if the publics first perceptions are kept without changes
Text Mining In Healthcare
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In healthcare, data mining intensively and extensively becoming essential. Data mining applications can benefit all patients and the healthcare professionals. This paper starts with introducing data mining and the healthcare paradigm. This study confers various techniques
Text Mining in the Identification of Duties and Responsibilities of the Project Manager
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Purpose: An attempt to identify the duties and responsibilities of the project manager by analysing job offers from a job website. An attempt to determine whether there were any changes between and 2019. Design/methodology/approach: Text mining was
Text Mining and Predicting Disease-Gene-Drug Associations of Hypertension Data Cubes-Based
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Background Predispositions to hypertension is possibly associated with numerous potential gene polymorphisms and systemic disorders. Large-scale text mining of biomedical literature is a exible and essential tool that can be applied to search for innovative drugs and
Identification of Technologies in Industry 4.0 With the Use of Text Mining
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Purpose: The objective of this paper is to identify leading technologies in Industry 4.0. Design/methodology/approach: The identification was made with the use of text mining to explore the scientific texts in this field. Assumptions of own iterative method for analyzing
Identification of Career Interest using Text Mining Techniques
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Career choice is one of the most important decisions a student or a professional has to make in his life. When choosing a certain profession, it is important to carefully find out what are the interests and ambitions of the individual. We can do this by means of career interest
A Comparison Of Text Mining Versus Diagnostic Codes To Identify Opioid Use Problem: A Retrospective Study?
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Background As opioid prescriptions have risen, there has also been a rise in opioid overdose deaths and substance use disorders. Public health systems have tried to improve their ability to detect and intervene in opioid use disorders to prevent death due to overdose
Email Spams via Text Mining using Machine Learning Techniques
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A lot of data is generated on daily basis which potentially be useful. This data is generally unstructured and ambiguous to draw a meaning from it. High quality of information can be extracted from this potentially useful data typically through devising of patterns and
Latent Feature Word Representations to Enhance Topic Models for Text Mining Algorithms
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Dealing with large number of textual documents needs proven models that leverage the efficiency in processing. Text mining needs such models to have meaningful approaches to extract latent features from document collection. Latent Dirichlet allocation (LDA) is one such
TEXT MINING FOR ASPECT BASED SENTIMENT ANALYSIS ON CUSTOMER REVIEW: A CASE STUDY IN THE HOTEL INDUSTRY
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The development of the role of the OTA (Online Travel Agent) site has become one of the E- WOM (Electronic Word of Mouth) media in addition to its main function as a platform for ticket reservations to encourage stakeholders in the hotel industry to utilize E-WOM for business
From Text Mining to Evidence Team Learning in Cybersecurity Exercises
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Team-based cybersecurity exercises are popular learning methods to reduce the skill gap in digital security. However, assessing team learning remains an unsolved research question. Our ongoing research focuses on unobtrusive team learning measurements in exercisesUsing big data has been a prevailing research trend in various academic fields. However, no studies have explored the scope and structure of big data across disciplines. In this paper, we applied topic modeling and word co-occurrence analysis methods to identify keyWeb mining even consists of many different text mining methods that can be helpful to scan and extract relevant data from unstructured data. Text mining is very helpful in detecting various patterns, keywords, and significant information in unstructured texts
Methods of Enriching Domain Knowledge with Universal Semantics for Higher Text Mining Performance
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Language models are either trained only on a repository data or post-trained using the repository after having been trained on a huge dataset like Wikipedia. Either way, since the distribution of the repository data (usually a domain-specific corpus) and the real-world
Text Mining in Educational Objectives for Arabic Twitter Educator Accounts
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Twitter is a social networking site that offers micro blogging services to interact via Twitter posts, also called tweets, on any devices with Internet access. In Saudi Arabia, Twitter users occupy the second place worldwide. The vast majority of educators and learners students
Determination of Customer Satisfaction by Text Mining : Case of Cappadocia Hotels
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Purpose The aim of this study is to analyze the comments of travel web sites on 28 hotels that have 4 or 5 stars, operating in Cappadocia region by text mining and to determine the satisfaction level of customers from hotels. For this purpose, text mining methods were used
Text Mining of User Reviews to Predict Sentiment Using Machine Learning
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Online reviews are an important aspect for customers who buy the product and the organization who sell the product. A review can be about a product, a movie, a political campaign etc. A review can be given in simple words or in detail depending upon how much
Text and Network- Mining for COVID-19 Intervention Studies
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Background: The COVID-19 pandemic has led to a massive and collective pursuit by the research community to find effective diagnostics, drugs and vaccines The large and growing body of literature present in MEDLINE and other online resources including various self
A Survey on Effect of KPIs in Higher Education based on Text Mining Techniques
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Higher Education institutions are one of the most important areas that need to use the concept of mining . Even though higher education forms the knowledge foundation for basic professional understanding and development of new capabilities for more information
Clinical Text Mining of Electronic Health Records to Classify Leprosy Patients Cases
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Leprosy is one of the major public health problems and listed among the neglected tropical diseases in India. It is also called Hansens Diseases (HD), which is a long haul contamination by microorganisms Mycobacterium leprae or Mycobacterium lepromatosis
Analysis of Consumers Evaluation of Domestic Cosmetics Brand Based on Python Text Mining
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By using the big data mining method of Python beautifulsoup, word frequency analysis method of Python Wordcloud, and the Chinese character analysis method of Python Jieba, this paper analyzes the existing problems of domestic cosmetics brands and the most
Analysis of Natural Landscape Image of Song Ci Based on Python Text Mining Method
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As a brilliant pearl in the crown of ancient Chinese literature, Song Ci has a high degree of literary achievement and appreciation. This paper uses Pythons BS word cloud and Jieba function to select and sort out nearly 000 poems of Song Dynasty, the key words with
Capturing user perspectives on research impact: text mining companies annual reports
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To make a case for science funding, we need meaningful metrics for the social and economic impact of research. Metrics are needed to make inferences from specific situations to conclusions that hold more generally Current evidence is largely based on
Text miningbased Fake News Detection Using Ensemble Methods
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Social media is a platform to express ones views and opinions freely and has made communication easier than it was before. This also opens up an opportunity for people to spread fake news intentionally. The ease of access to a variety of news sources on the web
Text Mining To Detect Plagiarism In E-Learning System Using Rabin Karp Algorithm
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Plagiarism is copying someone elses work, by someone who makes the work as his work. Plagiarism can be considered a criminal act for stealing the works of others. The most common plagiarism acts are found in many academic fields, such as in the E-Learning
JOB REQUIREMENTS ANALYSIS WITH DATA MINING TECHNIQUES
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For monitoring skills needs, as expressed in job advertisements, I used a simple and effective artificial intelligence technology called text mining KEY WORDS: job requirements, word cloud, text mining R, frequency matrix 1. INTRODUCTION
Introduction to the Minitrack on Text Analytics
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Computational text mining and big data analytics is an increasingly important technique for an interdisciplinary group of scholars, practitioners, government officials, and international organizations 9. Towards a Text Mining Community
MEASURING DIVERGENT THINKING ORIGINALITY WITH HUMAN RATERS AND TEXT MINING MODELS: A PSYCHOMETRIC COMPARISON OF METHODS
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Within creativity research, interest and capability in utilizing text mining models to quantify the Originality of participant responses to Divergent Thinking tasks has risen sharply over the last decade, with many extant studies fruitfully using such methods to uncover
Resume Analyzer Using Text Processing
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This paper presents an effective Company Recommender System to help recruiters to find the best candidate for given employment title using text mining and machine learning tools Key Words: Text Mining Lexical Analysis, Natural Language Processing, etc
Machine Indexing of Documents in the Field of Information Retrieval Using Text Mining in the RapidMiner Software
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Machine indexing Provides compatibility between classification codes and indexing terms, extracted expressions and words automatically from a Compiled thesaurus In designing an autoindexing system, computer completely replaces humans. The purpose of this research
Cross-culture differences in tourists faced with Japanese hospitality: A text mining and rank-biased overlap measure study of satisfaction and dissatisfaction
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The Japanese spirit of hospitality and service, Omotenashi, is known worldwide for its excellence. Recent years show a steady increase in international tourists coming to Japan. Chinese tourists, especially, have been steadily increasing. However, before the shift thatRecently, researchers have tended to use such data mining techniques as text mining to develop learning systems for supporting teachers instruction and students learning. We also found that classification Text Mining . Text mining is a methodDoes Europe live in a populist zeitgeist Why would mainstream European parties become more populist in recent years Some scholars argue that the expansion of right-wing populism in Europe points to the global economic crisis which has left undeniable
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