{
"success": true,
"data": {
"url": "https://www.facebook.com/leomessi/videos/1214407187496899/",
"summary": "The transcript consists of a repetitive affirmative response, indicating agreement or acknowledgment.",
"mainTopics": [
"Affirmation",
"Agreement"
],
"keyPoints": [
"The speaker is confirming information.",
"The communication is extremely brief."
],
"tone": "Neutral",
"targetAudience": "General",
"quotes": [
"Sí. Sí. Sí."
],
"timeline": "The entire transcript is a single, continuous sequence of affirmative responses.",
"sentiment": "neutral",
"emotions": {
"joy": "10",
"anger": "0",
"sadness": "0",
"fear": "0",
"surprise": "0",
"disgust": "0",
"neutral": "90"
},
"dominant_emotion": "neutral"
}
}
curl --location --request GET 'https://zylalabs.com/api/13687/facebook+speech+analysis+api/31131/tag+sentiment?url=https://www.facebook.com/leomessi/videos/1214407187496899/' --header 'Authorization: Bearer YOUR_API_KEY'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 Facebook Speech Analysis API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
Facebook Speech Analysis API is a powerful speech and content analysis solution designed to extract meaningful insights from spoken content in Facebook videos. By providing a Facebook video URL, users can automatically analyze the speech within the video and receive structured information about its meaning, emotional characteristics, sentiment, and key themes.
The API processes spoken content and generates a concise summary that captures the main idea of the video.
响应中的关键字段包括“摘要”“主要主题”“关键点”“语气”“目标受众”“引用”“时间轴”“情感”和“情绪”这些字段提供了对视频内容的全面分析
响应数据以JSON格式组织,其中包含一个“success”字段指示请求状态以及一个“data”对象包含有关视频的详细信息,例如摘要和情感分析
该端点提供有关情感、情绪、语气、主题、摘要、要点、引用和受众洞察的信息,使用户能够理解视频的内容和情感背景
用户可以通过提供不同的Facebook视频网址来定制他们的请求,以分析各种视频,从而根据每个视频的具体内容提供量身定制的见解
典型的用例包括内容摘要 营销情感分析 受众参与评估 以及基于视频分析提取研究或内容创作的关键主题
通过先进的人工智能算法分析语音模式和情感线索,确保从视频中的口语内容可靠提取洞见从而保持数据准确性
用户可以利用返回的数据为报告创建摘要 确定内容策略的关键主题 评估观众情感 并通过了解对视频内容的情感反应来增强参与感