Social Media Data Analysis Using Artificial Intelligence for Identifying Consumer Behavior Patterns

This paper investigates the use of Artificial Intelligence (AI) techniques to analyze social media data for identifying patterns in consumer behavior. In the digital era, social media platforms have become a vital source of information, offering valuable insights into consumer preferences, opinions, and purchasing behaviors. The research focuses on applying various AI methodologies, including Machine Learning (ML) and Deep Learning (DL), to process and analyze large datasets derived from social media platforms such as Twitter, Facebook, and Instagram. These techniques are utilized to identify significant behavioral patterns that can be linked to consumer decisions and actions. By leveraging these insights, businesses can gain a deeper understanding of real-time consumer behavior, enabling them to enhance their marketing strategies, improve customer engagement, and refine product offerings. This paper contributes to the growing field of AI-driven social media analytics, with potential implications for marketing, consumer psychology, and brand loyalty.

کلیدواژه ها:

Artificial Intelligence ، Social Media Data ، Sentiment Analysis ، Machine Learning ، Random Forest Classifier