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Extract core keywords from Chinese text using semantic analysis. Supports custom keyword quantities for content analysis, SEO optimization, and information organization.
No keywords found.
When facing lengthy text and struggling to quickly locate the core content, this tool uses algorithms like TF-IDF to perform semantic analysis on Chinese text, automatically identifying and extracting the core vocabulary that best represents the topic. Keyword extraction is the process of calculating the weight distribution of words in a text and outputting a list of words sorted by importance.
The maximum limit for a single process is 5,000 characters. Results are for reference only; please do not upload confidential content. Accuracy may decrease for languages other than Chinese. For abnormal text, try processing it in segments.
When extracting keywords from academic paper abstracts, we recommend setting the keyword quantity to 15-20. For marketing copy analysis, combining it with stop word filtering can improve results. Typical example: Inputting "Current application status of artificial intelligence in industrial production" outputs "artificial intelligence, industrial applications, smart manufacturing, automation technology".
