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Title: :  Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique
PaperId: :  3757
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3757
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vaibhav DeshmukhSKN Sinhgad Institute of Technology & Science
Darshan AgrawalSKN Sinhgad Institute of Technology & Science
Rasheel NairSKN Sinhgad Institute of Technology & Science
Anil PawarSKN Sinhgad Institute of Technology & Science

Abstract

Computer Engineering
Sentiment Analysis, Data Mining, Twitter, Machine Learning
Informal conversation of public on social media (e.g. twitter, Facebook, replies to particular news) shed light into their experiences (opinions, feelings, and concerns) about the political parties/leaders. Such unstructured data can provide valuable knowledge to political parties and even to public that what is current scenario of politics within that region. Analyzing such data, however, can be challenging. The complexity of public’s experiences about politics/political leaders reflected from social media content requires human interpretation. However, the growing scale of data demands automatic data analysis techniques. In this project, we are going to develop a workflow to integrate both qualitative analysis and large-scale data mining techniques. We focused on public’s Twitter posts, different micro blogging websites where public post their reviews/opinions about political parties/leaders to understand issues and problems that they have with them (political parties/leaders). We are going to conduct a qualitative analysis on samples taken from tweets/micro blogs related to political parties/leaders to identify different sentiments that is negative as well as positive aspects of public. Based on these results, we are going to implement a multi-label classification algorithm to classify tweets/micro blogs. Reflecting public’s reviews about particular political party/leader and we are going to use this algorithm to train detector which will automatically detect sentiments (happy, sad, disgusting, and angry) from tweets and micro blogs.

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IJARIIE Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. "Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 819-821
MLA Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. "Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 819-821.
APA Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, & Anil Pawar. (2017). Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 819-821.
Chicago Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. "Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 819-821.
Oxford Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. 'Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 819-821. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Developing_A_WebApp_For_Generating_Analytical_Model_On_Political_Domain_From_Twitter_Using_Machine_Learning_Technique_ijariie3757.pdf (Accessed : ).
Harvard Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. (2017) 'Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 819-821IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Developing_A_WebApp_For_Generating_Analytical_Model_On_Political_Domain_From_Twitter_Using_Machine_Learning_Technique_ijariie3757.pdf (Accessed : )
IEEE Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar, "Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 819-821, Jan-Feb 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Developing_A_WebApp_For_Generating_Analytical_Model_On_Political_Domain_From_Twitter_Using_Machine_Learning_Technique_ijariie3757.pdf [Accessed : ].
Turabian Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. "Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 ().
Vancouver Vaibhav Deshmukh, Darshan Agrawal, Rasheel Nair, and Anil Pawar. Developing A WebApp For Generating Analytical Model On Political Domain From Twitter Using Machine Learning Technique. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(1) : 819-821. Available from: https://ijariie.com/AdminUploadPdf/Developing_A_WebApp_For_Generating_Analytical_Model_On_Political_Domain_From_Twitter_Using_Machine_Learning_Technique_ijariie3757.pdf
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