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Title: :  Sentiment analysis of social media
PaperId: :  14497
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14497
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof.Prashant.S.GawandeSandip polytechnic,Nashik
Nitin Prabhakar ShiroleSandip polytechnic,Nashik
Rohit anil rajputSandip polytechnic,Nashik
Madhuri Sanjay katarnavreSandip polytechnic,Nashik
Vikas Sharad sonawaneSandip polytechnic,Nashik

Abstract

Information Technology
Complex networks, Sentimental analysis, Social media platform, tweets
Social media platforms are witnessing a significant growth in both size and purpose. One specific aspect of social media platforms is sentiment analysis, by which insights into the emotions and feelings of a person can be inferred from their posted text. Research related to sentiment analysis is acquiring substantial interest as it is a promising filed that can improve user experience and provide countless personalized services. Twitter is one of the most popular social media platforms, it has users from different regions with a variety of cultures and languages. It can thus provide valuable information for a diverse and large amount of data to be used to improve decision making. In this paper, the sentiment orientation of the textual features and emoji-based components is studied targeting “Tweets” and comments posted in Arabic on Twitter, during the 2018 world cup event. This study also measures the significance of analyzing texts including or excluding emojis. The data is obtained from thousands of extracted tweets, to find the results of sentiment analysis for texts and emojis separately. Results show that emojis support the sentiment orientation of the texts and that texts or emojis cannot separately provide reliable information as they complement each other to give the intended meaning.

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IJARIIE Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. "Sentiment analysis of social media" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 1764-1767
MLA Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. "Sentiment analysis of social media." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 1764-1767.
APA Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, & Vikas Sharad sonawane. (2021). Sentiment analysis of social media. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 1764-1767.
Chicago Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. "Sentiment analysis of social media." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 1764-1767.
Oxford Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. 'Sentiment analysis of social media', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 1764-1767. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Sentiment_analysis_of_social_media_ijariie14497.pdf (Accessed : ).
Harvard Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. (2021) 'Sentiment analysis of social media', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 1764-1767IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Sentiment_analysis_of_social_media_ijariie14497.pdf (Accessed : )
IEEE Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane, "Sentiment analysis of social media," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 1764-1767, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Sentiment_analysis_of_social_media_ijariie14497.pdf [Accessed : ].
Turabian Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. "Sentiment analysis of social media." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Prof.Prashant.S.Gawande, Nitin Prabhakar Shirole, Rohit anil rajput, Madhuri Sanjay katarnavre, and Vikas Sharad sonawane. Sentiment analysis of social media. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 1764-1767. Available from: https://ijariie.com/AdminUploadPdf/Sentiment_analysis_of_social_media_ijariie14497.pdf
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