What data is needed for visitor sentiment analysis?

Tourist sentiment analysis needs to obtain the following types of data:

1. Tourist evaluation data: including tourists’ evaluation data of tourist attractions, hotels, restaurants and other tourism-related content. This data can be collected through social media, travel review websites, questionnaires and other channels.

2. Tourist behavior data: including tourists’ behavior data during travel, such as attractions visited, time spent, activities participated in, etc. These data can be obtained through tourism platforms, attraction management systems and other channels.

3. Tourist personal information data: including tourists’ age, gender, nationality, occupation and other personal information data. This data can be collected during the process of booking travel products, applying for visas, etc.

4. Social media data: includes travel-related content posted by tourists on social media, such as travel photos, travel diaries, travel strategies, etc. This data can be obtained through the API interface of the social media platform.

5. Surrounding environment data: including weather conditions, traffic conditions, safety index and other surrounding environment data of the destination. These data can be obtained through the Meteorological Bureau, transportation department, police station and other channels.

The above data can be used in combination to conduct emotional analysis through natural language processing, machine learning and other technologies to understand the emotional state of tourists during travel, provide decision-making reference for the tourism industry and improve service quality.