Big data analytics for disaster response and recovery through sentiment analysis

2018 ◽  
Vol 42 ◽  
pp. 13-24 ◽  
Author(s):  
J. Rexiline Ragini ◽  
P.M. Rubesh Anand ◽  
Vidhyacharan Bhaskar
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Disaster Response ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Response And Recovery ◽  
Disaster Response And Recovery

scholarly journals An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification

2022 ◽  
Vol 59 (1) ◽  
pp. 102758
Author(s):  
Deepak Kumar Jain ◽  
Prasanthi Boyapati ◽  
J. Venkatesh ◽  
M. Prakash
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Big Data Analytics

Data Management and Big Data Analytics

2019 ◽  
pp. 1-23
Author(s):  
Vellingiri Jayagopal ◽  
Basser K. K.
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Management ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Digital Images ◽  
Big Data Analytics ◽  
Database Systems ◽  
The Internet ◽  
Processing Capacity

The internet is creating 2.5 quintillion bytes of data, and according to the statistics, the percentage of data that has been generated from last two years is 90%. This data comes from many industries like climate information, social media sites, digital images and videos, and purchase transactions. This data is big data. Big data is the data that exceeds storage and processing capacity of conventional database systems. Data in today's world (big data) is usually unstructured and qualitative in nature and can be used for various applications like sentiment analysis, increasing business, etc. About 80% of data captured today is unstructured. All this data is also big data.

Data Management and Big Data Analytics

2022 ◽  
pp. 1614-1633
Author(s):  
Vellingiri Jayagopal ◽  
Basser K. K.
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Management ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Digital Images ◽  
Big Data Analytics ◽  
Database Systems ◽  
The Internet ◽  
Processing Capacity

The internet is creating 2.5 quintillion bytes of data, and according to the statistics, the percentage of data that has been generated from last two years is 90%. This data comes from many industries like climate information, social media sites, digital images and videos, and purchase transactions. This data is big data. Big data is the data that exceeds storage and processing capacity of conventional database systems. Data in today's world (big data) is usually unstructured and qualitative in nature and can be used for various applications like sentiment analysis, increasing business, etc. About 80% of data captured today is unstructured. All this data is also big data.

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