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Applied Text Mining
This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and...
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Text Mining Applications
This chapter discusses the two common applications of text mining i.e., sentiment analysis and opinion mining. Both applications are discussed with...
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Text Mining
Text mining is such a large topic in data mining that it can be a separate field. It is also so important and has so many applications that a typical...
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Introduction to Text Mining
This chapter details the textual data, text mining operations, structure of the text information systems, and other basic concepts.
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Identifying missing data handling methods with text mining
Missing data is an inevitable aspect of every empirical research. Researchers developed several techniques to handle missing data to avoid...
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Text mining applied to distance higher education: A systematic literature review
Much of the data produced and consumed by students, teachers, and educational managers is in textual format. Text Mining (TM) and Natural Language...
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Text mining of veterinary forums for epidemiological surveillance supplementation
Web scra** and text mining are popular computer science methods deployed by public health researchers to augment traditional epidemiological...
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Text Mining
These days a large portion of the data exists in the form of text. This motivates us to have the methods for processing this data so that meaningful...
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Text Mining Through Deep Learning
This chapter explains how deep learning can be used in the context of text mining and includes examples and a complete description of the accompanied...
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Integrating text mining and system dynamics to evaluate financial risks of construction contracts
Financial risks are among the most important risks in the construction industry projects, which significantly impact project objectives, including...
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A survey of the literature: how scholars use text mining in Educational Studies?
The massive amount of text related to education provides rich information to support education in many aspects. In the meantime, the vast yet...
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Forecasting Government Project Costs in Colombia: Combining Regression-Based and Text-Mining Approaches for Predictive Analysis
Understanding the projected costs of projects within various sectors of a country is crucial for resource allocation and timely delivery. In...
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Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques
Mobile banking is becoming increasingly popular as a new means of delivering financial services, particularly in places where many people lack access...
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Enhancing scenic recommendation and tour route personalization in tourism using UGC text mining
Tourism is vital to national economic growth and fulfilling individuals’ spiritual pursuits. However, traditional scenic recommendation algorithms...
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COVID-19 Literature Mining and Retrieval Using Text Mining Approaches
In light of the recent COVID-19 epidemic, users are facing growing difficulties in navigating the vast expanse of Internet content to locate relevant...
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Text Mining
Text mining is the process of extracting meaning from unstructured text documents using both machine learning and natural language processing...
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Text Mining Based GPT Method for Analyzing Research Trends
In recent years, keywords are often extracted using text mining techniques when analyzing research trends to start a new study. In order to check...
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What do academics have to say about ChatGPT? A text mining analytics on the discussions regarding ChatGPT on research writing
This study employed text mining analytics to determine the perceptions of academics (e.g., scholars, teachers, educators, and researchers) regarding...
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Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
Recently, cross-media web video event mining based on heterogeneous information networks (HIN) has attracted extensive attention. However, each web...
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Text mining: identification of similarity of text documents using hybrid similarity model
The volume of data that are accessible on the internet has increased dramatically. This growth of data will only increase exponentially in the future...
