An Effective Framework for design of Dataset Using Twitter

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Published Nov 26, 2022
https://doi.org/10.47164/ijngc.v13i5.939
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Volume 13, Special Issue 5, November 2022

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Monal R.Torney
P G Departmentt of CSE Sant Gadge Baba Amravati University Amravati
Dr.K.H.Walse
Anuradha Engineering College Chikhali Buldhana Maharashtra
Dr.V.M.Thakare
P G Departmentt of CSE Sant Gadge Baba Amravati University Amravati

Abstract

The rapid expansion of internet usage and related services like social media and blogs has increased people's level of expressiveness in day-to-day life. Social media platforms like Twitter and Facebook facilitate people to interact and exchange opinions about people, products, and services. As a result, a vast amount of data is available online in the form of views, tweets, messages, audio, and videos. An interface is needed to collect knowledge and insights from the various tweets, ideas, and comments. Thus we have proposed the Twitter API-based Interface, able to perform Hashtag searches and extract tweets from Twitter along with the ample number of fields related to the Twitter object. Using the interface, the 55 properties of each tweet are collected and used for further investigations. The python-based library called Tweepy is used to interact with the Twitter API. Due to the availability of real-world
data, various issues related to text analysis can be addressed. The problems such as Sentiment Analysis, Opinion Mining, Implicit and Explicit detection, genuineness of views, and Opinion Spam detection can be addressed using the dataset availability.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Monal R.Torney, Dr.K.H.Walse, & Dr.V.M.Thakare. (2022). An Effective Framework for design of Dataset Using Twitter. International Journal of Next-Generation Computing, 13(5). https://doi.org/10.47164/ijngc.v13i5.939
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