Text Mining: Techniques, Applications and Issues
TLDR
The selection of right and appropriate text mining technique helps to enhance the speed and decreases the time and effort required to extract valuable information.Abstract:
Rapid progress in digital data acquisition tech-niques have led to huge volume of data. More than 80 percent of today’s data is composed of unstructured or semi-structured data. The discovery of appropriate patterns and trends to analyze the text documents from massive volume of data is a big issue. Text mining is a process of extracting interesting and non-trivial patterns from huge amount of text documents. There exist different techniques and tools to mine the text and discover valuable information for future prediction and decision making process. The selection of right and appropriate text mining technique helps to enhance the speed and decreases the time and effort required to extract valuable information. This paper briefly discuss and analyze the text mining techniques and their applications in diverse fields of life. Moreover, the issues in the field of text mining that affect the accuracy and relevance of results are identified.read more
Citations
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Overview and comparative study of dimensionality reduction techniques for high dimensional data
TL;DR: This paper presents the state-of-the art dimensionality reduction techniques and their suitability for different types of data and application areas and the issues of dimensionality Reduction techniques that can affect the accuracy and relevance of results.
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A systematic review of fundamental and technical analysis of stock market predictions
TL;DR: Support vector machine and artificial neural network were found to be the most used machine learning algorithms for stock market prediction.
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Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy.
Lara Tavoschi,Filippo Quattrone,Eleonora D'Andrea,Pietro Ducange,Marco Vabanesi,Francesco Marcelloni,Pier Luigi Lopalco +6 more
TL;DR: Opinion mining analysis based on Twitter showed to be a potentially useful and timely sentinel system to assess the orientation of public opinion toward vaccination and, in future, it may effectively contribute to the development of appropriate communication and information strategies.
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An improved text mining approach to extract safety risk factors from construction accident reports
TL;DR: An improved approach to identify safety risk factors from a volume of construction accident reports using text mining (TM) technology and shows that the proposed TF - H approach performs well to extract important factors from accident reports, solving the impact of different report lengths.
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Image, satisfaction, destination and product post-visit behaviours: How do they relate in emerging destinations?
TL;DR: In this article, the authors proposed a conceptual model that sheds light on how the destination image of emerging tourist destinations relates to tourism satisfaction and intention to subsequently recommend the place and purchase its products.
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Book
Text Mining: Predictive Methods for Analyzing Unstructured Information
TL;DR: This book introduces the new world of text mining and examines proven methods for various critical text-mining tasks, such as automated document indexing and information retrieval and search, as well as new research areas that rely on evolving text- mining techniques.
Journal ArticleDOI
Tapping the power of text mining
TL;DR: Sifting through vast collections of unstructured or semistructured data beyond the reach of data mining tools, text mining tracks information sources, links isolated concepts in distant documents, maps relationships between activities, and helps answer questions.