Java uses jieba to implement word segmentation

Use in JavajiebaYou can use the help of word segmentationjiebaJava version-jieba-analysis。jieba-analysisIt is based onjiebaThe Java implementation of word segmentation algorithm supports a variety of word segmentation methods such as accurate mode, full mode and search engine mode.

The following is usedjieba-analysisDetailed steps and sample code for word segmentation:

1. Add dependencies

First, it needs to be in the projectAdd to the filejieba-analysisdependency. If you are using a Maven project, you can add the following dependencies:

<dependency>
    <groupId></groupId>
    <artifactId>jieba-analysis</artifactId>
    <version>1.0.2</version>
</dependency>

If you are using Gradle, you canAdd the following dependencies to the file:

implementation ':jieba-analysis:1.0.2'

2. Use jieba for word segmentation

The following is usedjieba-analysisExample code for word segmentation:

Sample code

import ;
import ;

import ;

public class JiebaDemo {
    public static void main(String[] args) {
        // Create word parter object        JiebaSegmenter segmenter = new JiebaSegmenter();

        // Text to be participled        String text = "Xiaomi 13 Pro 5G phone, very cost-effective!";

        // Use precise pattern word segmentation        List<String> segList = (text);
        ("Precise Pattern Participle Results:");
        for (String word : segList) {
            (word);
        }

        // Use full mode word segmentation        List<SegToken> process = (text, );
        List<String> fullSegList = ().map(data->).collect(());
        ("Search Engine Pattern Word Participle Results:");
        for (String word : fullSegList) {
            (word);
        }
    }
}

Output result

Assume that the input text is"Xiaomi 13 Pro 5G phone, very cost-effective!", after running the above code, the output may be as follows:

Precise pattern word participle results:
Millet
13
Pro
5G
cell phone
，
Cost-effective
Super high
！

Search engine pattern word participle results:
Millet
13
Pro
5G
cell phone
Cost-effective
Super high

3. Description of word participle pattern

jieba-analysisSupports the following word segmentation modes:

• Precision mode: Try to cut the sentences most accurately, suitable for text analysis.

  • Calling method:(text)

• Full mode: Scan all possible words in the sentence, which is very fast, but cannot resolve the ambiguity.

  • Calling method:(text, )

• Search engine mode: Based on the precise mode, the long words are segmented again to improve the recall rate. It is suitable for search engines to build inverted indexes, with a relatively fine granularity.

  • Calling method:(text, )

4. Application scenarios

In your database word segmentation scheme, you can usejieba-analysisrightproductThe tabletitleThe field performs word segmentation and stores the word segmentation result toproduct_keywordin the table. Here is a complete process code example:

Example: Participle and store to the database

import ;
import ;
import ;
import ;
import ;

public class JiebaWithDatabase {
    public static void main(String[] args) {
        // Database connection information        String url = "jdbc:mysql://localhost:3306/your_database";
        String user = "your_username";
        String password = "your_password";

        // Text to be participled        String text = "Xiaomi 13 Pro 5G phone, very cost-effective!";
        int productId = 1; // Assume this is the product ID
        // Create word participle        JiebaSegmenter segmenter = new JiebaSegmenter();

        // Use precise pattern word segmentation        List<String> segList = (text);

        // Connect the database and insert the word participle result        try (Connection conn = (url, user, password)) {
            String sql = "INSERT INTO product_keyword (product_id, keyword) VALUES (?, ?)";
            PreparedStatement pstmt = (sql);

            for (String word : segList) {
                (1, productId);
                (2, word);
                ();
            }

            ("The word participle result has been stored in the database!");
        } catch (Exception e) {
            ();
        }
    }
}

5. Things to note

• Performance optimization：

  • If you need to process a large amount of text, it is recommended to batch process when participling words to reduce the frequency of database operations.

• Repeat the word participle result：

  • When storing word participle results, keywords can be deduplicated to avoid repeated storing of the same vocabulary.

• Database Design：

  • make sureproduct_keywordTable ofkeywordFields have appropriate indexes to improve search performance.

By the above method, you can usejieba-analysisImplement efficient word segmentation in Java and apply it to search optimization solutions for databases.

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