text mining IEEE PAPER, IEEE PROJECT
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.
Generating case notes from digital transcripts using text mining
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current health care systems require clinicians to spend a substantial amount of time to Digitally document their interactions with their patients through the use of electronic health Records (EHRs), limiting the time spent on face-to-face patient care. Moreover, the use of
Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics
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this mini-track has a total of nine papers that are about developing analytics systems for decision support by means of data, text, or web mining. Five of the nine papers focus on a variety of interesting text mining , natural language processing, and sentiment analysis
Text Mining Brain Imaging Reports
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background: With the improvements to text mining technology and the availability of large structured Electronic Healthcare Records (EHR) datasets, it is now possible to extract structured information from raw text contained within EHR at reasonably high accuracy. We
Text mining for bioinformatics using biomedical literature
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Biomedical literature has become a rich source of information for various applications. automatic text mining methods can make the processing of extracting information from a large set of documents more efficient. However, since natural language is not easily
Integration of Text Mining and Binary QSAR Models for Novel Anti-Hypertensive Antagonist Scaffolds
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It1 antagonists is the most recent drug class of molecules against hypertension and they Mediate their actions through blocking detrimental effects of angiotensin II (A-II).(1) In this Study, text mining approaches and binary QSAR modeling techniques were integrated to
Text Mining Basics in Bioinformatics
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Biomedical scientific literature is becoming a valuable information source that includes a huge amount of novel research findings. Nevertheless, the unstructured nature of the publications stresses the importance of extracting embedded information to support
Deciphering Monetary Policy Board Minutes through Text Mining Approach: The Case of South Korea
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ABSTRACT We quantify the Monetary Policy Board (MPB) minutes of the Bank of Korea (BOK) Using text mining . We propose a novel approach using a field-specific Korean dictionary and contiguous sequences of words (n-grams) to better capture the subtlety of central bank
Text Mining In Insurance: From Unstructured Data To Meaning
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very day insurance companies collect an enormous quantity of text data from multiple Sources. By exploiting Natural Language Processing, we present a strategy to make beneficial use of the large information available in documents. After a brief review of the
Vaccines in Italy: the emotional text mining of social media
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In recent years, social media analysis has become a fast and cheap device, compared to the traditional survey, to explore the political and electoral opinions and sentiments of citizens. moreover, social network analysis has been used for several purposes, such as the
TEXT MINING TECHNIQUES, APPLICATIONS AND ISSUES
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this article examines the concept of text mining techniques and issues and the main goal is understand textual content. Text mining is a process of extracting interesting and nontrivial patterns from huge amount of text documents. There exist different techniques and tools to
A Survey on Text mining techniques
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Is there is rapid progress in digital data acquisition techniques, it has led to large amount of Data. More than 85% of present days data is comprised of unsaturated. It can also have Semi structured data. Determining a definite patterns and trend to examine the textual data
Text Mining in Financial Information
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financial information mainly lies in financial statements, but it should be noted that financial Information can be textual as well as numerals. There are many data sources (footnotes, sustainability reports, executive letters etc.) which are different from the financial statements
Detection of cyber bullying using text mining
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the internet technology boom has led to a proliferation of tablets, laptops and smart phones With highspeed internet access. This access, coupled with the advent of instant messaging, chat rooms and social media websites, has led to an internet generation who
A SURVEY PAPER ON TEXT MINING ON WEB DATA USING MACHINE LEARNING TECHNIQUE
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In todays e-commerce market where online shopping and tourism is fastly growing so it very important to analyze such huge amount of large data present in web. So it is very important o create a method which classify the web data. Sentiment analysis is a method to classify
Text Mining process and method for Information withdrawal in Social Data-A study
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Text generation is increases rapidly in this world. We need to know how text mining is done And what are the various way to do. Web text mining is the practice of pulling consequence information, data, or patterns from unstructured text from other resource
Text Data Mining of the Nursing Care Life Log from Electronic Medical Record
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Is a method to overcome this obstacle and to acquire knowledge that can be used to solve the above problem from enormous text data, text mining technology has attracted attention. Fig.2 Process of text data mining Fig. 3 Example of a screen shot of KH Coder
TEXT MINING FOR SOCIAL SCIENCES: NEW APPROACHES
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the rise of the Internet has determined an important change in the way we look at the world, And then the mode we measure it. In June 2018, more than 55% of the worlds population as an Internet access1. It follows that, every day we are able to quantify what more than
Morpho-syntactic Parsing for a Text Mining Environment: An NP Recognition Model for Knowledge Visualization
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discuss the crucial role of NLP tools in Knowledge Extraction and Management as well as in the design of Information Retrieval Systems. The authors focus ore specifically on the morphosyntactic issues by describing their morpho-syntactic
Analyzing Empowerment Processes among Cancer Patients in an Online Community: A text mining approach
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background: Peer-to-peer online support groups and the discussion forums in these groups an help patients by providing opportunities for increasing their empowerment. Most previous research on online empowerment and online social support uses qualitative
Text-based predictions of beer preferences by mining online reviews
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Text-based predictions of beer preferences by mining online reviews Department of Agriculture, Eastern Kentucky University bSchool f Economic Sciences, Washington State University Abstract
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