查询标签

查找与查询标签最相似的索引文件。

代码示例

Python

如需了解如何安装和使用 Natural Language 客户端库，请参阅 Natural Language 客户端库。 如需了解详情，请参阅 Natural Language Python API 参考文档。

如需向 Natural Language 进行身份验证，请设置应用默认凭据。如需了解详情，请参阅为本地开发环境设置身份验证。

def query_category(index_file, category_string, n_top=3):
    """Find the indexed files that are the most similar to
    the query label.

    The list of all available labels:
    https://cloud.google.com/natural-language/docs/categories
    """

    with open(index_file) as f:
        index = json.load(f)

    # Make the category_string into a dictionary so that it is
    # of the same format as what we get by calling classify.
    query_categories = {category_string: 1.0}

    similarities = []
    for filename, categories in index.items():
        similarities.append((filename, similarity(query_categories, categories)))

    similarities = sorted(similarities, key=lambda p: p[1], reverse=True)

    print("=" * 20)
    print(f"Query: {category_string}\n")
    print(f"\nMost similar {n_top} indexed texts:")
    for filename, sim in similarities[:n_top]:
        print(f"\tFilename: {filename}")
        print(f"\tSimilarity: {sim}")
        print("\n")

    return similarities

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅 Google Cloud 示例浏览器。