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What is Text Mining

Handbook of Research on Contemporary Perspectives on Web-Based Systems
The process of deriving high-quality information from text.
Published in Chapter:
A Novel Method for Calculating Customer Reviews Ratings
Ioannis S. Vourgidis (De Montfort University, UK), Jenny Carter (De Montfort University, UK), Leandros Maglaras (De Montfort University, UK), Helge Janicke (De Montfort University, UK), Zoe Folia (National Technical University of Athens, Greece), and Pavlina Fragkou (Technical Educational Institute of Athens, Greece)
DOI: 10.4018/978-1-5225-5384-7.ch020
Abstract
The number of consumers consulting online reviews in order to purchase a product or service, keeps growing. In addition to that, consumers can add an online review in order to express their experience upon the services or products received. This iterative process makes reviews matter regarding consumer's purchase decision. Apart from reviews, consumers are welcomed to provide numerical ratings for the product or services they bought. If a hotel is exposed to an online hotel review site, then it very possible to improve the possibility of a consumer to consider booking a room in this hotel. According to this chapter, regardless of positive or negative reviews, hotel awareness is enhanced. Online reviews significantly improve hotel awareness for lesser-known hotels than for well-known hotels.
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Knowledge Discovery in Databases and Data Mining
Data mining applied to unstructured textual data.
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Review of the Studies Related to COVID-19 and Tourism Using Text Mining Techniques
It is the process of obtaining high quality and meaningful information from non-numeric and unstructured data such as newspaper, magazine, book, e-mail, etc.
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A Novel Neutrosophic Interpretive Structural Modeling Approach: Hierarchical Visual Graphs of Indeterminate Causalities
The exploration and the extraction of interesting and important information from a free or unstructured text covering everything from the acquisition of information to the classification and aggregation of text, as well as entities, relationships and event extractions.
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Customer Analytics Using Sentiment Analysis and Net Promoter Score
Also referred to as text data mining, similar to text analytics, derives high-quality information from text.
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Big Data Analytics for Business
The use of data mining techniques to discover and extract patterns from text.
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Research Journey of Hate Content Detection From Cyberspace
Text mining extracting unstructured data from any web source and processed to semi-structured or structured form for analysis.
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Text Mining in Bioinformatics: Research and Application
A technology that makes it possible to discover patterns and trends semi-automatically from huge collections of unstructured text.
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Opinion Mining in Sociopolitical Research
Search for words in Big Data repositories using algorithms designed for them.
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Non-Technological and Technological (SupTech) Innovations in Strengthening the Financial Supervision
A multidisciplinary field involving information mining, text analysis, categorizing, grouping, visualization, data exploration and machine learning.
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Application of AI in Academic Library Services: Prospects and Implications for Quality Service Delivery
Text mining is the process of analysing and extracting useful information from unstructured text data. It involves using machine learning and natural language processing techniques to automatically identify and extract patterns, relationships, and insights from large volumes of text data.
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Using Intelligent Text Analysis of Online Reviews to Determine the Main Factors of Restaurant Value Propositions
An automated analytic tool for understanding and sorting unstructured text that makes it easier to manage the data it describes. Text analysis tools are often used to gain valuable insights in e-commerce and digital marketing, for example, when analyzing social media discussions, survey responses, and online reviews.
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Social Media Marketing Applications and Fashion Brands: A South Asian Perspective
To classify and segregate the unstructured text passages into literal meaning giving quality outputs such as summary or in-depth analysis with the help of software tools.
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Improving the K-Means Clustering Algorithm Oriented to Big Data Environments
Process of analyzing textual sources, with the aim of identifying relevant patterns.
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Using Machine Learning to Extract Insights From Consumer Data
The process of identifying, retrieving, and preparing unstructured textual data into a structured format for data analysis.
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Designing a Concept-Mining Model for the Extraction of Medical Information in Spanish
A process of deriving high-quality information from text. This kind of task involves information retrieval, lexical analysis to study word frequency distributions, pattern recognition, tagging/annotation, information extraction, data mining techniques including link and association analysis, visualization, and predictive analytics. The overarching goal is, essentially, to turn text into data for analysis, via application of natural language processing (NLP) and analytical methods.
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Discovering Personalized Novel Knowledge from Text
Methods to distil useful information from large bodies of text.
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Transformation of Marketing With Technology: Case Approach for Artificial Intelligence
The process of evaluating text-based data through computer-aided processes.
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Integrated Data Architecture for Business
The use of data mining techniques to discover and extract patterns from text.
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Approaches to Detect Securities Fraud in Capital Markets
This term covers essentially the similar approaches of data mining to the compilation of textual data in a deliberate structure.
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The Relationships Between Users' Negative Tweets, Topic Choices, and Subjective Well-Being in Japan
It is a computation analysis of text, which aims to derive high quality information from the text for further analysis.
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Integrated Data Architecture for Business
The use of data mining techniques to discover and extract patterns from text.
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A Text Mining Analysis of Faculty Reflective Narratives on Their Participation in the TeachTech Program at The University of Texas at El Paso: Implications for Integrating IT Technologies Into College Pedagogy
A term that refers to a growingly popular research method to process and analyse a large of textual data. This research method include the pre-processing, text categorization, clustering of documents, and extraction of keywords, key phrases, or topics. Text mining techniques also involve the use of text visualization where word clouds, graphs, and maps can be used to represent the relationships among extracted information from the corpus.
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Deriving Document Keyphrases for Text Mining
Methods to distil useful information from large bodies of text.
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Identifying COVID-19 Cases Rapidly and Remotely Using Big Data Analytics
A process of extracting necessary information from unstructured text data for data processing.
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Automatic Detection of Cyberbullying to Make Internet a Safer Environment
Refers to the process of the extraction of significant information and knowledge from unstructured text.
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Political Mobilization Strategies in Taiwan's Sunflower Student Movement on March 18, 2014: A Text-Mining Analysis of Cross-National Media Corpus
Also, known as text analytics, is a computation method of analyzing and exploring a lot of unstructured or structure data by popular text mining software packages (such as QDA Miner, or PolyAnalyst).
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Exploring Cryptocurrency Sentiments With Clustering Text Mining on Social Media
Attempts to discover new, high-quality information from text collected from various sources such as websites, social media, emails, publications, and reviews, by detecting patterns or trends. Text mining typically requires pre-processing text input to structured data, detecting patterns from structured data, and result interpretation.
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First of All, Understand Data Analytics Context and Changes
Equivalent to text analytics, text mining is the process of deriving information from text. Text mining usually involves the process of structuring the input text deriving patterns within the structured data, and finally evaluation and interpretation of the output.
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Untangling BioOntologies for Mining Biomedical Information
The process of extracting relevant and non-trivial information and knowledge from unstructured text, usually a collection of documents.
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An Unexpected Journey: Designing a Social Media Marketing Framework for Small and Medium Enterprises (SMEs)
To classify and segregate the unstructured text passages into literal meaning giving quality outputs such as summary or in-depth analysis with the help of software tools.
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Data Text Mining Based on Swarm Intelligence Techniques: Review of Text Summarization Systems
The process of extracting and deriving high quality and important information from text.
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Big Data, Artificial Intelligence, and Their Implications in the Tourism Industry
Text mining is a technique that makes it possible to automate processes to derive major trends in large volumes of text content and to evaluate statistical engagement on different topics.
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Intelligent Management and Efficient Operation of Big Data
A process of extracting relevant knowledge from large collections of unstructured text documents. In this way, text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.
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Unraveling E-WOM Patterns Using Text Mining and Sentiment Analysis
The discovery of non-trivial, previously unknown and potentially useful information from text.
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Clubhouse Experience: Sentiment Analysis of an Alternative Platform From the Eyes of Classic Social Media Users
Text mining, which is a special area of data mining, is the application of data mining methods on texts written or shared by people with the help of natural language processing techniques. Many methods have already been developed on the analysis of texts, identifying important terms, summarizing, classifying, or grouping texts.
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Automated Technology Integrations for Customer Satisfaction Assessment
An analysis of text data to discover the relevant patterns that disclosed inside.
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What Can College Teachers Learn From Students' Experiential Narratives in Hybrid Courses?: A Text Mining Method of Longitudinal Data
Also, known as text analytics, is a computational method of analyzing and exploring a lot of unstructured or structure textual data by popular text mining software packages (such as QDA Miner, or PolyAnalyst).
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Data Science in Economics and Business: Roots and Applications
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Determination of Guest Satisfaction by Text Mining: Case of Turkey Hotels
It is an analysis in which the word frequencies and hidden meanings of the texts are revealed.
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Automatic Reference Tracking
Text mining usually involves the process of structuring the input text (usually parsing along with the addition of some linguistic features and the removal of others, and subsequent insertion into the database), deriving patterns within the structured data, and finally evaluation and interpretation of the output.
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Current Issues and Future Analysis in Text Mining for Information Security Applications
is the discovery by computer of new, previously unknown, information by automatically extracting information from different written resources.
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Learning Path Recommendation Method Based on Knowledge Map
The process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.
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Practices of Netnography and Mixed Quantitative Data Analysis Methods in Experiential Marketing
An artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the unstructured text in documents and databases into normalized, structured data suitable for analysis.
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The Impact of News on Public-Private Partnership Stock Price in China via Text Mining Method
Text mining (also called text analysis) is the process of converting unstructured text data into meaningful and actionable information. Text mining uses different AI technologies to automatically process data and generate valuable insights, enabling companies to make data-driven decisions.
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Reading Data Possibilities From an LMS Data Portal Data Dictionary
The exploration of data patterns from text sets (curated and uncurated).
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Blended Learning Compared to Online Learning in Business, Management, and Accounting Education: A Bibliometric Analysis and Literature Review
A technique of data analysis useful for analysis of unstructured text. This is a computer-assisted text analysis technique that provides insights regarding the most cited terms in corpus.
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Analysis of Online Hotel Reviews During the COVID-19 Pandemic Using Topic Modeling
Text mining is the process of identifying information in unstructured data, searching, and identifying hidden and different patterns.
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Designing a Business Analytics Culture in Organizations in India
It refers to analysing large quantities of unstructured textual data using data analytics methods for relevant outcomes.
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