Uses of Class
com.tencentcloudapi.nlp.v20190408.models.WordEmbeddingRequest

Packages that use WordEmbeddingRequest

Package	Description
com.tencentcloudapi.nlp.v20190408
com.tencentcloudapi.nlp.v20190408.models

Uses of WordEmbeddingRequest in com.tencentcloudapi.nlp.v20190408

Methods in com.tencentcloudapi.nlp.v20190408 with parameters of type WordEmbeddingRequest

Modifier and Type	Method and Description
WordEmbeddingResponse	NlpClient.WordEmbedding(WordEmbeddingRequest req) 因业务调整该接口将于北京时间2023年8月1日0点下线，届时该产品功能将无法正常使用，为了避免对您的业务造成影响，请您尽快做好相关业务调整。详见：https://cloud.tencent.com/document/product/271/90711 词向量接口能够将输入的词语映射成一个固定维度的词向量，用来表示这个词语的语义特征。词向量是很多自然语言处理技术的基础，能够显著提高它们的效果。 该词向量服务由腾讯知文自然语言处理团队联合腾讯AI Lab共同打造。使用的词向量基于千亿级大规模互联网语料并采用AI Lab自研的DSG算法训练而成，开源的词向量包含800多万中文词汇，在覆盖率、新鲜度及准确性等三方面性能突出。

Uses of WordEmbeddingRequest in com.tencentcloudapi.nlp.v20190408.models

Constructors in com.tencentcloudapi.nlp.v20190408.models with parameters of type WordEmbeddingRequest

Constructor and Description
WordEmbeddingRequest(WordEmbeddingRequest source) NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.