• Corpus ID: 246035543

Detecting Stance in Tweets : A Signed Network based Approach

@article{Chakraborty2022DetectingSI,
  title={Detecting Stance in Tweets : A Signed Network based Approach},
  author={Roshni Chakraborty and Maitry Bhavsar and Sourav Kumar Dandapat and Joydeep Chandra},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.07472}
}
Identifying user stance related to a political event has several applications, like determination of individual stance, shaping of public opinion, identifying popularity of government measures and many others. The huge volume of political discussions on social media platforms, like, Twitter, provide opportunities in developing automated mechanisms to identify individual stance and subsequently, scale to a large volume of users. However, issues like short text and huge variance in the vocabulary… 

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