Twitter and the Ukraine-Russia War: an examination

Joshi, Manika, -, Nishi, Rani, Ritu, Bisla, Nidhi, Sharma, Arun and Dev, Amita (2023) Twitter and the Ukraine-Russia War: an examination. In: 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON), 05-07 August 2023, Mysore, India.

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On February 23, 2022, the conflict between Ukraine and Russia broke out, shockingthe entire world and creating a heated debate on social media. This paper focuses on understanding the sentiments of Twitter users regarding the Russo-Ukrainian war and classifying them into appropriate categories. In this project, an eight-part dataset was utilized, consisting of various hashtags. Multiple classification techniques were applied, utilizing TF-IDF and Bag of Words vectorization. The dataset consisted of over 1.3 million tweets sourced from Kaggle, with a specific focus on hashtags like ‘Russian Troops’ and ‘Ukrainian War,’ among others. Preprocessing steps involved removing symbols and numbers, converting the text to lowercase, and applying stemming. After completing the preprocessing, conducting the analysis, and training the models, an accuracy of 96% was achieved on both the Logistic Regression and Decision Tree models

Item Type: Conference or Workshop Item (Paper)
Keywords: Training | Heating systems | Analytical models | Logistic regression | Social networking | Blogs | Symbols
Subjects: Social Sciences and humanities > Social Sciences > Social Sciences (General)
Social Sciences and humanities > Social Sciences > International Relations
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 07 Nov 2023 13:16
Last Modified: 20 Nov 2023 18:00
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