Abstract:

Social media platforms, particularly Twitter, have become rich sources of data for diverse applications such as sentiment analysis, trend detection, and user behavior understanding. Extracting relevant features from Twitter data is a crucial step in enhancing the effectiveness of these applications. This research paper delves into various techniques employed for feature extraction from Twitter data, aiming to highlight their strengths, limitations, and potential applications. The study encompasses both traditional methods and emerging technologies, offering a comprehensive overview of the current landscape of feature extraction from Twitter.

Description:

Twitter Data, Feature Extraction, Text-Based Analysis, Non-Textual Features, Social Media Analytics.