Table 1 Online comment analysis method of tourist attractions.
Research stage | Technology/method | Detailed description |
|---|---|---|
Data collection | Scrapy reptile | Use Python’s Scrapy framework to capture online comment data from the target website |
Data preprocessing | NLTK library and jieba word segmentation | Remove HTML tags, duplicate, text cleaning, word segmentation and part-of-speech tagging |
Text sentiment analysis | BERT model | Use BERT model to classify emotions and predict the emotional tendency of comments |
Topic extraction | LDA theme model | Use LDA model to extract key topics and keywords from comments |
Emotional evolution analysis | Time series analysis | Analyze the changing trend of emotional tendency with time |
Tourist recommendations | Collaborative filtering recommendation | Recommend tourist attractions based on user behavior similarity |
Content recommendation | Match recommendation based on the characteristics of tourist attractions and user preferences | |
Mixed recommendation | Combine the advantages of collaborative filtering and content recommendation to provide comprehensive recommendation |
