POSTkeyword-extract-extract
Keyword Extraction
Identify and extract core keywords from text to enhance content analysis, SEO optimization, and information retrieval.
Documentation
Features
The [Jumei Zhishu] Keyword Extraction API leverages advanced Natural Language Processing (NLP) technology to automatically identify and extract core keywords from text of any length. These keywords accurately represent and summarize the main ideas of the content. By effectively filtering out redundant information, this service focuses on the most critical points of your text, significantly improving the efficiency and accuracy of information processing.
Use Cases
- Content Analysis & Understanding: Quickly grasp the core concepts of news articles, reports, reviews, and other text formats.
- Search Engine Optimization (SEO): Help webmasters discover highly relevant keywords to optimize content and improve search rankings.
- Information Retrieval & Recommendation: Build highly accurate indexes to enhance search result relevance and power content recommendation engines.
- Public Sentiment Monitoring: Extract trending keywords from massive datasets to gain insights into social sentiment and emerging trends.
- Document Classification & Clustering: Utilize extracted keywords as features for automated document organization and management.
Integration Examples
Includes ready-to-use Shell, Python, Go, Java, and PHP examples for direct integration.
Request Example
{}Response Example
{
"code": 200,
"data": {
"list": {
"type": "array",
"items": {
"type": "string",
"example": "企业"
},
"example": [
"企业",
"竞争",
"科",
"权威",
"数",
"接入"
],
"description": "所有的关键词数组"
}
},
"message": "success"
}Response Fields
The fields below are derived from example JSON for integration reference only.
| Path | Type | Sample |
|---|---|---|
| code | number | 200 |
| data | object | {...} |
| data.list | object | {...} |
| data.list.type | string | array |
| data.list.description | string | 所有的关键词数组 |
| message | string | success |