The desensitized dataset of online comments about the autonomous vehicle "Apollo Go"

This study systematically collected user comments related to the topic "Apollo Go" on the Douyin platform using Python-based automated web scraping technology. By developing efficient scraping scripts, a large volume of user interaction data was automatically gathered. After rigorous data cleaning and preprocessing, a dataset containing 5,985 valid comments was constructed.During the data cleaning process, all personally identifiable information was anonymized to ensure compliance and data security. Sensitive fields such as usernames and geographic locations were removed. The final dataset retains the following two fields:Time: Records the exact timestamp when each comment was posted, formatted as "2024/7/13 20:42:55", accurate to the second, facilitating subsequent time-series analysis.Comment: Contains the original user-generated text, preserved in its raw form, suitable for natural language processing tasks such as sentiment analysis and topic modeling.This dataset is well-structured and authentic, making it suitable for various applications including social media public opinion analysis, public sentiment monitoring, and research on topic dissemination pathways.