ISSN 2394-5125
 

Research Article 


SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar.

Abstract
Sentimental analysis is defined as a process of recognizing and grouping the opinions of users based on their view conveyed regarding particular parts or different parts of information. Twitter is being used for finding the people’s opinion on trending concept which is popular these days. According to the suggested approach, the live information of twitter is collected by the configuration of the system by Hive ware, sqoop, Hadoop, and Flume. The agent of the flume is
used for setting the keyword file on the cluster of Hadoop to getting similar information, after that the gathered data is synced on HDFS (Hadoop Distributed File Systems). In the sentimental analysis, the application of twitter information, builds a Hive’s database, and the gathered data is imported into the table of Hive and then the data is compared along the dictionary data set of AFINN. The results which are acquired after executing the sentimental analysis on tweets, these are classified into the opinions of negative & positive. For making the decision, the negative and positive values that are obtained from tweets are used.

Key words: Scoop, Meta store, Sentiment Analysis, Big data, Twitter, Hadoop, Cluster, Flume, Hive, HDFS.


 
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How to Cite this Article
Pubmed Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. JCR. 2020; 7(9): 452-460. doi:10.31838/jcr.07.09.92


Web Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. http://www.jcreview.com/?mno=112179 [Access: May 30, 2021]. doi:10.31838/jcr.07.09.92


AMA (American Medical Association) Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. JCR. 2020; 7(9): 452-460. doi:10.31838/jcr.07.09.92



Vancouver/ICMJE Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. JCR. (2020), [cited May 30, 2021]; 7(9): 452-460. doi:10.31838/jcr.07.09.92



Harvard Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar (2020) SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. JCR, 7 (9), 452-460. doi:10.31838/jcr.07.09.92



Turabian Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. 2020. SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. Journal of Critical Reviews, 7 (9), 452-460. doi:10.31838/jcr.07.09.92



Chicago Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. "SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES." Journal of Critical Reviews 7 (2020), 452-460. doi:10.31838/jcr.07.09.92



MLA (The Modern Language Association) Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar. "SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES." Journal of Critical Reviews 7.9 (2020), 452-460. Print. doi:10.31838/jcr.07.09.92



APA (American Psychological Association) Style

Ashok Kumar Nanduri, G.L. Sravanthi, K. Siva Kumar, K V K V L Pavan Kumar (2020) SENTIMENT ANALYSIS OF CASCADING TWITTER DATA USING HADOOP ECO SYSTEM APPROACHES. Journal of Critical Reviews, 7 (9), 452-460. doi:10.31838/jcr.07.09.92