POSTPublictext-similar

Text Similarity Detection

This API efficiently and accurately detects the similarity between two text snippets. Supporting multiple languages, it is widely used in content moderation and recommendation systems.

Documentation

Features

The Text Similarity Detection API provides an advanced algorithm to accurately calculate the semantic similarity of input text pairs. It goes beyond simple vocabulary matching by deeply analyzing the context and underlying meaning of the text, thereby providing a more reliable similarity score. It supports the comparison of both long and short texts and can process texts in different languages. Featuring high concurrency and low latency, this API ensures stable and efficient service across various application scenarios.

Use Cases

Content Moderation and Deduplication: Automatically identifies duplicate or highly similar articles and comments to effectively prevent plagiarism.
Smart Recommendation Systems: Recommends highly similar news, products, or videos based on content the user has read or shown interest in.
Semantic Search: Goes beyond keyword matching during user queries to return semantically relevant search results.
Q&A Systems: Determines the similarity between a user's question and existing questions in the knowledge base to provide more accurate answers.
Customer Service: Analyzes the similarity between customer inquiries and the FAQ database to enable intelligent routing or automated responses.

Integration Examples

Includes ready-to-use Shell, Python, Go, Java, and PHP examples for direct integration.

Request Example

{}

Response Example

{
  "code": 200,
  "data": {
    "like": {
      "type": "number",
      "example": 0.8164965809277261,
      "description": "两个文本相似的程度，为0至1之间的小数。越接近1说明越像。"
    },
    "orderNo": {
      "type": "string",
      "example": "f45dj6jdknqfkszc8k"
    },
    "ret_code": {
      "type": "string",
      "example": "0",
      "description": "0成功其它失败"
    }
  },
  "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.like	object	{...}
data.like.type	string	number
data.like.example	number	0.8164965809277261
data.like.description	string	两个文本相似的程度，为0至1之间的小数。越接近1说明越像。
data.orderNo	object	{...}

Text Similarity Detection

Documentation

Features

Use Cases

Integration Examples

Request Example

Response Example

Response Fields

Shell Example

Python Example

Go Example

Java Example

PHP Example