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This dataset contains tagged reviews of about 300 games on the mobile game app TapTap, which can be used for sentiment analysis applications, with a total of 4,888 data examples. User reviews with less than 3 stars (maximum 5 stars) are considered 0 (unsatisfied), and others are 1 (satisfied). The ratio of these two categories is approximately 1:1.

The mobile game market has grown into a huge field, especially in China. Monitoring player comments has become a key means of predicting the commercial success of games. This dataset is mainly used to explore the application potential of Chinese Natural Language Processing (NLP) technology. For example, whenever a new game is launched, players will have heated discussions on social platforms such as Weibo, game forums, and Tieba. Developing specialized models to automatically identify trends in player discussions is of great significance in guiding market strategies and decision-making. Through this automated process, market dynamics can be grasped more accurately, thereby predicting the commercial potential of games.

Data Annotation

• review: review text
• sentiment: 0 represents dissatisfaction and 1 represents satisfaction.