X(Tweeter)

This dataset is a collection of social media posts, primarily from Twitter/X, spanning from 2017 to 2025. Each row represents a single post enriched with metadata and engagement metrics. The core fields include unique identifiers (id_str, conversation_id_str, user_id_str), timestamps (created_at), and the full text of the post (full_text). Additional columns capture user interactions such as likes (favorite_count), retweets, replies, and quotes, offering insight into engagement patterns. Media presence is indicated through image_url, while tweet_url provides direct access to the original post. Language information (lang) shows that most posts are in English, and thematic classification is provided by the category column, which groups content into areas like AI Technology, Education, Finance, Health, and Entertainment. Although some fields such as location and in_reply_to_screen_name are largely empty, the dataset remains rich for analysis of trends, sentiment, and user behavior over time. Its structure makes it suitable for natural language processing, social network analysis, and predictive modeling of engagement.