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Title: :  Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data
PaperId: :  11588
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11588
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M DhuarshineAnand Institute of Higher Technology
K ArchanaAnand Institute of Higher Technology
D Anand Joseph DanielAnand Institute of Higher Technology

Abstract

Text Mining
Streaming data abstraction, Emoticon based opion is analyzed,Non –text feature extraction.
The rise of social media has generated tremendous interest and changes among Internet users today. Data from these social media sites can be used for a number of purposes, like prediction, marketing or sentimental analysis. Twitter is a social networking service on which users post and interact with a message called "TWEETS". The millions of tweets received every year could be subjected to sentiment analysis. But handling such a huge amount of unstructured data is a tedious task to take up. The current Analytics tools and models used that are available in the market, but are not sufficient to manage big data. Therefore, we have utilized Hadoop for intelligent analysis and storage of big data. In this proposed work, we did sentiment analysis on tweets in Hadoop environment.

Citations

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IJARIIE M Dhuarshine, K Archana, and D Anand Joseph Daniel. "Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 617-623
MLA M Dhuarshine, K Archana, and D Anand Joseph Daniel. "Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 617-623.
APA M Dhuarshine, K Archana, & D Anand Joseph Daniel. (2020). Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 617-623.
Chicago M Dhuarshine, K Archana, and D Anand Joseph Daniel. "Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 617-623.
Oxford M Dhuarshine, K Archana, and D Anand Joseph Daniel. 'Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 617-623. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Twitter_topic_Analysis_using_Multi_Tweet_Sequential_Summarization_for_Sentimental_Data_ijariie11588.pdf (Accessed : ).
Harvard M Dhuarshine, K Archana, and D Anand Joseph Daniel. (2020) 'Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 617-623IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Twitter_topic_Analysis_using_Multi_Tweet_Sequential_Summarization_for_Sentimental_Data_ijariie11588.pdf (Accessed : )
IEEE M Dhuarshine, K Archana, and D Anand Joseph Daniel, "Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 617-623, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/Twitter_topic_Analysis_using_Multi_Tweet_Sequential_Summarization_for_Sentimental_Data_ijariie11588.pdf [Accessed : ].
Turabian M Dhuarshine, K Archana, and D Anand Joseph Daniel. "Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 ().
Vancouver M Dhuarshine, K Archana, and D Anand Joseph Daniel. Twitter topic Analysis using Multi-Tweet Sequential Summarization for Sentimental Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : ]; 6(2) : 617-623. Available from: https://ijariie.com/AdminUploadPdf/Twitter_topic_Analysis_using_Multi_Tweet_Sequential_Summarization_for_Sentimental_Data_ijariie11588.pdf
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