Text Analytics in Big Data Environments

2021 ◽  
pp. 125-143
Author(s):  
R. Janani ◽  
S. Vijayarani
Keyword(s):  
Big Data ◽  
Text Analytics

Disaster Management during Pandemic: A Big Data-Centric Approach

2021 ◽  
pp. 2140003
Author(s):  
Mohamed Elsotouhy ◽  
Geetika Jain ◽  
Archana Shrivastava
Keyword(s):  
Big Data ◽  
Disaster Management ◽  
Crisis Response ◽  
Unstructured Data ◽  
Management Theory ◽  
Management Approach ◽  
Text Analytics ◽  
The Past ◽  
Structured Information ◽  
Data Files

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study’s findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

Comprehensive Contemplation of Probabilistic Aspects in Intelligent Analytics

2020 ◽  
Vol 11 (1) ◽  
pp. 116-141 ◽  
Author(s):  
Neeti Sangwan ◽  
Vishal Bhatnagar
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Big Data Analysis ◽  
Future Research ◽  
Learning Approaches ◽  
Text Analytics ◽  
Review Of Literature ◽  
Classification Framework

In Big Data analysis, the application of machine learning has proven to be a revolutionary. The systematic review of literature shows that research has been carried out on the domain of big data analytics particularly text analytics with the inclusion of machine learning approaches. This extensive survey deals with the data at hand that provides different ways and issues while combining the machine learning approaches with the text. During the course of the survey, various publications in the field of synchronous application of machine learning in text analytics were searched and studied. Classification framework is proposed as the contribution of machine learning in text analytics. A classification framework represented the various application areas to motivate researchers for future research on the application of two emerging technologies.

What can big data and text analytics tell us about hotel guest experience and satisfaction?

2015 ◽  
Vol 44 ◽  
pp. 120-130 ◽  
Author(s):  
Zheng Xiang ◽  
Zvi Schwartz ◽  
John H. Gerdes ◽  
Muzaffer Uysal
Keyword(s):  
Big Data ◽  
Text Analytics

Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis

2019 ◽  
Vol 14 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Viju Raghupathi ◽  
Yilu Zhou ◽  
Wullianallur Raghupathi
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Word Association ◽  
Big Data Analytics ◽  
Text Analytics ◽  
Hadoop Mapreduce ◽  
Cancer Management ◽  
Exploratory Approach ◽  
Clustering And Classification ◽  
Data Analytic

In this article, the authors explore the potential of a big data analytics approach to unstructured text analytics of cancer blogs. The application is developed using Cloudera platform's Hadoop MapReduce framework. It uses several text analytics algorithms, including word count, word association, clustering, and classification, to identify and analyze the patterns and keywords in cancer blog postings. This article establishes an exploratory approach to involving big data analytics methods in developing text analytics applications for the analysis of cancer blogs. Additional insights are extracted through various means, including the development of categories or keywords contained in the blogs, the development of a taxonomy, and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It can provide insight and decision support for cancer management and facilitate efficient and relevant searches for information related to cancer.

Measuring Customer Agility from Online Reviews Using Big Data Text Analytics

2018 ◽  
Vol 35 (2) ◽  
pp. 510-539 ◽  
Author(s):  
Shihao Zhou ◽  
Zhilei Qiao ◽  
Qianzhou Du ◽  
G. Alan Wang ◽  
Weiguo Fan ◽  
...  
Keyword(s):  
Big Data ◽  
Online Reviews ◽  
Text Analytics

Big hopes for big data

2017 ◽  
Vol 31 (2) ◽  
pp. 23-25
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Reading Time ◽  
Explicit Knowledge ◽  
Information Overload ◽  
Unstructured Data ◽  
Text Analytics ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings More than ever before, current organizations see knowledge as the key to success. The emphasis on effective knowledge management (KM) has increased accordingly. However, the ubiquitous nature of data available to firms means that conventional KM tools are largely incapable of coping with such an information overload. Big data text analytics offers considerably greater scope in this respect. Its tools and technologies can enable businesses to extract important information from masses of structured and unstructured data and convert the information into explicit knowledge that can be absorbed and exploited to help secure a competitive advantage. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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