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Statistical Challenges in Social Media Analysis by Sagar Ambekar is a document available to read on EtoBox.
What is Statistical Challenges in Social Media Analysis about?
The article addresses statistical challenges in analyzing social media data, particularly focusing on sentiment tracking. It identifies key issues such as data sparsity, high dimensionality, noise, and bias, and proposes advanced statistical techniques like natural language processing and machine learning to enhance accuracy and reliability. The study emphasizes the need for improved methodologies to fully leverage social media data for sentiment analysis and other applications.
- Author
- Sagar Ambekar
- Language
- EN