检测一段文本的情感
{
"purchaseCount": 1,
"pv": 11,
"globalHotValue": 0,
"updateDt": 1753979541603,
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"todayGlobalPv": 0,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 200,
"chinaHotValueDouble": 0,
"selectedValue": 200,
"chinaHotValue": 0,
"hotValueDouble": 0,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
该API提供来自世界各地众多顶级新闻机构的实时和历史市场新闻与情绪数据,涵盖股票、加密货币、外汇等多个领域,以及财政政策、并购、IPO等广泛的主题。该API能为您提供对金融市场和更广泛经济状况的全方位视角。
百度 AI 评论观点抽取 能够精准地提取评论句子中的关注点,同时深入分析并输出对应的评论观点标签以及评论观点极性,从而帮助用户快速且准确地理解评论所传达的核心内容与情感倾向。
VERN™旨在检测通信中的人类情绪。它以 0-100% 的等级预测用户的意图。这个量表代表了所呈现的情绪的强度。VERN™是一个专利系统,可以在词汇和语料库层面检测潜在的情感线索。
您可以连接并使用 API 服务,或在您喜欢的 AI Marketplace 中找到 VERN™
{
"purchaseCount": 7,
"pv": 106,
"globalHotValue": 1,
"updateDt": "2025-08-02 00:27:23",
"hotValue": 0.4,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"weekTrailSum": 0,
"todayGlobalPv": 1,
"americaHotValueDouble": 0,
"globalHotValueDouble": 1,
"todayAmericaPv": 0,
"todayTrailSum": 0,
"americaHotValue": 0,
"selectedValueDouble": 250,
"weekTrailSuccessNumMap": null,
"chinaHotValueDouble": 0,
"selectedValue": 250,
"hotValueDouble": 0.4,
"chinaHotValue": 0,
"weekTrailNumMap": {
"2025-08-01": 0,
"2025-07-31": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
情绪分析API接口-Metadata日语句子在“赞成-不喜欢”、“快乐-悲伤”和“愤怒-恐惧”三个轴上进行分析,并在 3 个级别 +1(0 = 中性)中分析六种情绪中的每一种,并输出这三个数值。 您可以轻松提取文本中表达的情感。
{
"purchaseCount": 1,
"pv": 89,
"globalHotValue": 0,
"updateDt": "2025-08-02 00:23:30",
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"weekTrailSum": 0,
"todayGlobalPv": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"todayTrailSum": 0,
"americaHotValue": 0,
"selectedValueDouble": 250,
"weekTrailSuccessNumMap": null,
"chinaHotValueDouble": 0,
"selectedValue": 250,
"hotValueDouble": 0,
"chinaHotValue": 0,
"weekTrailNumMap": {
"2025-08-01": 0,
"2025-07-31": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
此 API 返回情绪分析结果,其中包含给定文本的分数。了解用户评论或帖子的语气。当您拥有大量非结构化数据(例如 Twitter 评论或用户反馈)时,这将很有帮助,您需要对最有利和最不利的评论进行排序或识别。
{
"purchaseCount": 0,
"pv": 71,
"globalHotValue": 0,
"updateDt": 1753978968265,
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"todayGlobalPv": 0,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 250,
"chinaHotValueDouble": 0,
"selectedValue": 250,
"chinaHotValue": 0,
"hotValueDouble": 0,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
情绪识别 可用于检测人脸情绪,它能够精准地识别出愤怒、厌恶、恐惧、高兴、平静、伤心以及惊讶这七类常见情绪,通过该 服务能高效、准确地分析和解读人脸所呈现的各种情绪状态。
{
"purchaseCount": 4,
"pv": 95,
"globalHotValue": 0,
"updateDt": "2025-08-02 00:07:54",
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"weekTrailSum": 0,
"todayGlobalPv": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"todayTrailSum": 0,
"americaHotValue": 0,
"selectedValueDouble": 591,
"weekTrailSuccessNumMap": null,
"chinaHotValueDouble": 0,
"selectedValue": 591,
"hotValueDouble": 0,
"chinaHotValue": 0,
"weekTrailNumMap": {
"2025-08-01": 0,
"2025-07-31": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
在监控在线对话的同时,了解你的品牌、产品或服务的社会情绪。情感分析是文本的上下文挖掘,它识别和提取源材料中的主观信息。
{
"purchaseCount": 2,
"pv": 49,
"globalHotValue": 0,
"updateDt": "2025-08-02 00:19:24",
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"weekTrailSum": 0,
"todayGlobalPv": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"todayTrailSum": 0,
"americaHotValue": 0,
"selectedValueDouble": 200,
"weekTrailSuccessNumMap": null,
"chinaHotValueDouble": 0,
"selectedValue": 200,
"hotValueDouble": 0,
"chinaHotValue": 0,
"weekTrailNumMap": {
"2025-08-01": 0,
"2025-07-31": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
Repustate的情感分析API利用机器学习技术,从文本中提取情感,支持23种语言。它帮助企业快速分析正面、中性和负面情感,提升效率和客户体验,易于集成,保持数据最新。
{
"purchaseCount": 2,
"pv": 103,
"globalHotValue": 2,
"updateDt": 1753979296516,
"hotValue": 0.8,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 1,
"todayGlobalPv": 2,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 2,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 200,
"chinaHotValueDouble": 1,
"selectedValue": 200,
"chinaHotValue": 1,
"hotValueDouble": 0.8,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
有时三类情绪(积极、消极和中性)不足以理解以下方面的细微差别句子的基本语气。我们的情绪分析分类器在我们的专有数据集上进行训练,并告诉信息背后的潜在情感是:快乐、悲伤、愤怒、恐惧、兴奋或无聊。
{
"purchaseCount": 0,
"pv": 111,
"globalHotValue": 0,
"updateDt": 1753978892741,
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"todayGlobalPv": 0,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 250,
"chinaHotValueDouble": 0,
"selectedValue": 250,
"chinaHotValue": 0,
"hotValueDouble": 0,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
此 API 检测并返回一段文本的情绪。这段文字中有什么情感......?检测一段文本的情绪并理解其语气。这个情绪检测器为六种情绪中的每一种返回一个分数:厌恶、悲伤、愤怒、喜悦、惊讶和恐惧。
{
"purchaseCount": 17,
"pv": 258,
"globalHotValue": 2,
"updateDt": "2025-08-02 00:20:58",
"hotValue": 0.8,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 1,
"weekTrailSum": 0,
"todayGlobalPv": 2,
"americaHotValueDouble": 0,
"globalHotValueDouble": 2,
"todayAmericaPv": 0,
"todayTrailSum": 0,
"americaHotValue": 0,
"selectedValueDouble": 250,
"weekTrailSuccessNumMap": null,
"chinaHotValueDouble": 1,
"selectedValue": 250,
"hotValueDouble": 0.8,
"chinaHotValue": 1,
"weekTrailNumMap": {
"2025-08-01": 0,
"2025-07-31": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
Vokaturi软件能识别语音中的情感,如中立、快乐、悲伤、愤怒和恐惧。Open Vokaturi SDK使开发人员能将此情感分析功能集成到应用程序中。
{
"purchaseCount": 11,
"pv": 184,
"globalHotValue": 2,
"updateDt": 1753979318328,
"hotValue": 0.8,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 2,
"todayGlobalPv": 2,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 2,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 200,
"chinaHotValueDouble": 2,
"selectedValue": 200,
"chinaHotValue": 2,
"hotValueDouble": 0.8,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
Cyanite.ai专注于音乐情感分析,通过可视化技术展示音乐情绪的秒级动态。服务帮助用户深入理解音频的情感层次,量化音乐效果,提供基于独特数据集的洞见,增强音乐作品在消费者市场的表现。
针对带有主观描述的中文文本,可自动判断该文本的情感极性类别并给出相应的置信度。情感极性分为积极、消极、中性。针对特定场景下带有主观描述的篇章文本,自动识别文本中的核心实体词,并分别判断每个实体词对应的情感和对应置信度
情感倾向分析能帮助企业理解用户消费习惯、分析热点话题和危机舆情监控,为企业提供有力的决策支持
{
"purchaseCount": 3,
"pv": 45,
"globalHotValue": 0,
"updateDt": 1753978088821,
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"todayGlobalPv": 0,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 591,
"chinaHotValueDouble": 0,
"selectedValue": 591,
"chinaHotValue": 0,
"hotValueDouble": 0,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}
对只包含单一主体主观信息的文本,进行自动情感倾向性判断(积极、消极、中性),并给出相应的置信度。为口碑分析、话题监控、舆情分析等应用提供基础技术支持。
Webit 情感分析 API 可让您轻松执行 100+ 种语言的混合神经翻译,借助 Webit 情感分析 REST API,您可以毫不费力地构建多语言应用和服务,帮助世界各地的人们进行交流。
{
"purchaseCount": 1,
"pv": 26,
"globalHotValue": 0,
"updateDt": 1753978932334,
"hotValue": 0,
"weekTrailSuccessRate": 0,
"weekTrailSuccessSum": 0,
"todayChainPv": 0,
"todayGlobalPv": 0,
"weekTrailSum": 0,
"americaHotValueDouble": 0,
"globalHotValueDouble": 0,
"todayAmericaPv": 0,
"americaHotValue": 0,
"todayTrailSum": 0,
"selectedValueDouble": 200,
"chinaHotValueDouble": 0,
"selectedValue": 200,
"chinaHotValue": 0,
"hotValueDouble": 0,
"weekTrailNumMap": {
"2025-07-31": 0,
"2025-07-26": 0,
"2025-07-27": 0,
"2025-07-28": 0,
"2025-07-29": 0,
"2025-07-30": 0
}
}