Twitter Data Analysis for Live Streaming by Using Flume Technology

2021 ◽  
pp. 519-527
Author(s):  
Vissamsetti Mohan Manoj ◽  
Yalamandala Prasanth ◽  
T. Prem Jacob ◽  
G. Nagarajan ◽  
A. Pravin
Keyword(s):  
Data Analysis ◽  
Live Streaming ◽  
Twitter Data ◽  
Twitter Data Analysis

scholarly journals Reply trees in Twitter: data analysis and branching process models

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ryosuke Nishi ◽  
Taro Takaguchi ◽  
Keigo Oka ◽  
Takanori Maehara ◽  
Masashi Toyoda ◽  
...  
Keyword(s):  
Data Analysis ◽  
Branching Process ◽  
Process Models ◽  
Twitter Data ◽  
Twitter Data Analysis

Twitter Data Analysis by Live Streaming

2019 ◽  
Vol 16 (8) ◽  
pp. 3178-3182
Author(s):  
Sugnik Roy Chowdhury
Keyword(s):  
Streaming Data ◽  
Pictorial Representation ◽  
Live Streaming ◽  
Time Data ◽  
The Public ◽  
Twitter Data ◽  
Real Time Data ◽  
Pros And Cons ◽  
Twitter Data Analysis ◽  
Day By Day

Streaming now a days have been of great use when comes to Social Media. Streaming of data have made it easy for Companies to understand the pros and cons of their product. Streaming acts as a survey now a days which a few years ago were done by a team of individual using pen and papers. In order to collect and process the streaming data from various streaming sites to produce an analytical report that helps to get a clear pictorial representation of events, the assets of streaming process generates a huge volume of real time data mainly referred to as “Big Data.” In order to aggregate, store and analyses the streaming data that are being generated Day-By-Day we get into the concept of Hadoop and Flume Technologies, API that helps to collect data from Twitter/other streaming sites by using “#” tag/Keywords. Tweets by the News channel and retweets by the public are being collected.

scholarly journals Twitter data analysis for studying communities of practice in the media industry

2018 ◽  
Vol 35 (1) ◽  
pp. 195-212 ◽  
Author(s):  
Marlen Komorowski ◽  
Tien Do Huu ◽  
Nikos Deligiannis
Keyword(s):  
Data Analysis ◽  
Communities Of Practice ◽  
Media Industry ◽  
Twitter Data ◽  
The Media ◽  
Twitter Data Analysis

scholarly journals Twitter data analysis by means of Strong Flipping Generalized Itemsets

2014 ◽  
Vol 94 ◽  
pp. 16-29 ◽  
Author(s):  
Luca Cagliero ◽  
Tania Cerquitelli ◽  
Paolo Garza ◽  
Luigi Grimaudo
Keyword(s):  
Data Analysis ◽  
Twitter Data ◽  
Twitter Data Analysis
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