How to use ThinkPHP6 to implement word segmentation search

With the advent of the big data era, the importance of search engines has become increasingly prominent. Word segmentation search, as a common search method, is widely used. So, how to implement word segmentation search using the ThinkPHP6 framework? Next, this article will introduce them to you one by one.

1. What is word segmentation search?

Word segmentation search is to segment the search words entered by the user, and search and match based on the results after segmentation. For example, when the user enters "television price", the system will automatically divide it into two keywords: "television" and "price", and then search. In this way, even if the entered keywords are incomplete or wrong, the system can intelligently match them.

2. How to use ThinkPHP6 to implement word segmentation search?

1. Install the ThinkPHP6 framework

First, we need to install the ThinkPHP6 framework locally. I won’t go into details here. You can refer to the official documentation for installation.

2. Install the word segmentation library

In the ThinkPHP6 framework, we use the jieba word segmentation library to perform word segmentation operations. Jieba is a commonly used Chinese word segmentation library in Python. It supports three word segmentation modes: precise mode, full mode and search engine mode. In ThinkPHP6, we can use the PHP extension library jieba-php to make calls.

Next, we need to download the jieba-php extension library and place it in the extend folder of the ThinkPHP6 framework. The specific steps are as follows:

1) Download the jieba-php extension library on GitHub

2) Place the downloaded jieba-php-master folder under the extend folder of the ThinkPHP6 framework

3. Implementing the word segmentation search function

Next, we can start to implement the word segmentation search function.

First, define a search method in the controller to receive the search terms entered by the user.

public function search()
{
    $keywords = input('keywords');
    $result = [];
    if ($keywords) {
        // TODO: 进行分词搜索操作
    }
    return json($result);
}

Among them, we obtain the search terms entered by the user through the input() function, then perform a word segmentation search operation based on the search terms, and finally return the results in JSON format.

Next, we can start to implement word segmentation search operations. The specific steps are as follows:

1) Introduce jieba word segmentation library

Introduce jieba-php extension library in the file header of the search controller:

use FukuballJiebaJieba;
use FukuballJiebaPosseg;

2) For search terms Carry out word segmentation

In the search method, we can use the jieba word segmentation library to segment the search words and save them in an array. The specific code is as follows:

Jieba::init();
Posseg::init();

$seg_list = Posseg::cut($keywords);
$search_arr = [];
foreach ($seg_list as $seg) {
    if (strlen($seg['word']) > 1) {//剔除单字关键词
        array_push($search_arr, $seg['word']);
    }
}

In this code, the jieba word segmentation library is first initialized. Then, use the Posseg::cut() function to segment the search terms and save the results in the $seg_list array. Finally, the word segmentation results are filtered through a foreach loop, only keywords with a length greater than 1 are retained, and the results are saved in the $search_arr array.

3) Search and match

Finally, we can use the query constructor provided by the ThinkPHP6 framework to perform search and matching operations. The specific code is as follows:

$map[] = ['title', 'like', '%' . $keywords . '%'];
if (!empty($search_arr)) {
    foreach ($search_arr as $keyword) {
        $map[] = ['title', 'like', '%' . $keyword . '%'];
    }
}
$result = Db::table('article')->whereOr($map)->select();

The code first defines the query conditions through the $map array, and uses the search terms as conditions for exact matching. If there are word segmentation results, the word segmentation results are also used as conditions for fuzzy matching. Finally, the query conditions are spliced ​​with OR conditions through the Db::table()->whereOr() function, and the select() function is called to return the query results.

The above is the whole process of using ThinkPHP6 to implement word segmentation search. Of course, there are still many details that need to be paid attention to, such as the version of jieba thesaurus, the way search results are presented, etc. Careful thinking and research are required during the code implementation process to obtain a stable and efficient word segmentation search function.

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