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How to use PHP and Xunsearch to implement synonym search and related word mining

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2023-07-29 10:49:401421browse

How to use PHP and Xunsearch to implement synonym search and related word mining

Introduction:
In the era of information explosion, search engines have become one of the important channels for people to obtain information. For search engines, accurate search results can improve user experience, and synonym search and related word mining technology can play a role in this case. This article will introduce how to use PHP and Xunsearch to implement synonym search and related word mining.

1. Synonym search
Synonym search can enable search engines to better understand the user's intentions, thereby providing more accurate search results. Xunsearch is a powerful full-text search engine, in which it is very simple to implement synonym search function.

First, we need to create a Xunsearch instance and initialize the index, refer to the following code:

require_once '/path/to/xunsearch/sdk/php/lib/XS.php';

$xs = new XS('demo'); // 创建实例

$index = $xs->index; // 获取索引对象

$index->clean(); // 清空索引数据,重新建立

Next, we can define some lexicon and synonyms and add them to the index:

$dict = [
    '美食' => ['美食', '好吃的'],
    '旅游' => ['旅游', '旅行'],
];

foreach ($dict as $term => $synonyms) {
    $doc = new XSDocument;
    $doc->setFields([
        'term' => $term,
        'synonyms' => $synonyms,
    ]);
    $index->add($doc);
}

$index->flushIndex(); // 将数据写入索引

Now, we can perform a synonym search. The following is a simple sample code:

$query = $xs->search; // 创建查询实例

$query->setQuery('好吃的'); // 设置查询词

$searchResults = $query->search(); // 执行搜索

foreach ($searchResults as $doc) {
    echo '相关词:' . $doc->term . '<br>';
}

The above code will output all words related to "delicious".

2. Related word mining
Related word mining can help us discover related words under the same topic. Using Xunsearch, we can realize the related word mining function.

First, we need to add a large number of documents to the index, such as the content of some articles. The following is a sample code:

$articles = [
    '今天天气很好。',
    '我去了一家很好吃的餐厅。',
    '我们明天一起去旅行吧。',
];

foreach ($articles as $content) {
    $doc = new XSDocument;
    $doc->setFields([
        'content' => $content,
    ]);
    $index->add($doc);
}

$index->flushIndex(); // 将数据写入索引

Then, we can use the word frequency statistics function provided by Xunsearch to obtain related words. The following is a simple sample code:

$query = $xs->search; // 创建查询实例

$query->setQuery('好吃的'); // 设置查询词

$query->setExpandedQuery(true); // 开启关联词挖掘

$searchResults = $query->search(); // 执行搜索

$terms = $query->getExpandedTerms(); // 获取关联词

foreach ($terms as $term => $weight) {
    echo '关联词:' . $term . '<br>';
}

The above code will output related words related to "delicious".

Conclusion:
Using PHP and Xunsearch to implement synonym search and related word mining is a relatively simple and powerful method. It improves the accuracy of search engines, allowing users to better find the information they need. I hope this article can be helpful to everyone.

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