apoc.nlp.aws.sentiment.stream
过程 Apoc 扩展
返回提供的文本中项的情感流
签名
apoc.nlp.aws.sentiment.stream(source :: ANY?, config = {} :: MAP?) :: (node :: NODE?, value :: MAP?, error :: MAP?)
安装依赖
NLP 过程依赖于 Kotlin 和客户端库,这些库未包含在 APOC Extended 库中。
这些依赖项包含在 apoc-nlp-dependencies-2025.10.0-all.jar 中,可从 发布页面 下载。下载该文件后,应将其放入 plugins 目录并重启 Neo4j 服务器。
设置 API 密钥
我们可以按照 docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html 上的说明生成访问密钥和密码。完成后,我们可以填充并执行以下命令来创建包含这些详细信息的参数。
以下定义了
apiKey 和 apiSecret 参数
:param apiKey => ("<api-key-here>");
:param apiSecret => ("<api-secret-here>");
或者,我们可以将这些凭据添加到 apoc.conf 中,并使用静态值存储函数来检索它们。
apoc.conf
apoc.static.aws.apiKey=<api-key-here>
apoc.static.aws.apiSecret=<api-secret-here>
以下从
apoc.conf 中检索 AWS 凭据
RETURN apoc.static.getAll("aws") AS aws;
| aws |
|---|
{apiKey: "<api-key-here>", apiSecret: "<api-secret-here>"} |
用法示例
本节中的示例基于以下示例图
CREATE (:Article {
uri: "/blog/pokegraph-gotta-graph-em-all/",
body: "These days I’m rarely more than a few feet away from my Nintendo Switch and I play board games, card games and role playing games with friends at least once or twice a week. I’ve even organised lunch-time Mario Kart 8 tournaments between the Neo4j European offices!"
});
CREATE (:Article {
uri: "https://en.wikipedia.org/wiki/Nintendo_Switch",
body: "The Nintendo Switch is a video game console developed by Nintendo, released worldwide in most regions on March 3, 2017. It is a hybrid console that can be used as a home console and portable device. The Nintendo Switch was unveiled on October 20, 2016. Nintendo offers a Joy-Con Wheel, a small steering wheel-like unit that a Joy-Con can slot into, allowing it to be used for racing games such as Mario Kart 8."
});
我们可以使用此过程来提取 Article 节点的语义分析结果。我们要分析的文本存储在节点的 body 属性中,因此我们需要通过 nodeProperty 配置参数来指定它。
以下流式输出 Pokemon 文章的关键短语
MATCH (a:Article {uri: "/blog/pokegraph-gotta-graph-em-all/"})
CALL apoc.nlp.aws.sentiment.stream(a, {
key: $apiKey,
secret: $apiSecret,
nodeProperty: "body"
})
YIELD value
RETURN value;
| 值 |
|---|
{index: 0, sentiment: "POSITIVE", sentimentScore: {neutral: 0.33138760924339294, negative: 0.0026062370743602514, mixed: 3.5950531582784606E-6, positive: 0.6660025119781494}} |
如果想要自动存储语义分析结果,请参阅 apoc.nlp.aws.sentiment.graph。