Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Chinese Academy of Forestry

North China Electric Power University

Xu Pan

Wei Li

Bing Zhang

Zhe Yang

Ke Wei Sun

Qiang Huang

Jun Fang

Lijuan Cui

Manyin Zhang

Wenjun Zhang

Jian Gong

Siqi Xu

Ziliang Guo

Changjun Gao

Yinuo Zhu

Zecheng Zhuo

Saiding Hong

Yunmei Ping

Yuncong Li

Songyuan Dai

Zhiqun Xia

Haiying Zheng

Jiajiu Ye

Jianxi Yao

Shuang Ma

Zhan'ao Tan

Provided is a data labeling method based on artificial intelligence, an apparatus, and a storage medium relating to the field of artificial intelligence, particularly data labeling, image recognition, and natural language processing. The method includes: determining a plurality of samples involved in clustering; performing a plurality of following operations circularly to realize iterative processing, until a convergence condition is satisfied or a quantity of iterations reaches a number threshold, comprising: pre-clustering the plurality of samples according to a vector representation of the respective samples to obtain a plurality of class clusters, each class cluster containing at least one sample; receiving labeling information for the respective class clusters and re-determining the plurality of samples according to the labeling information; and determining a clustering result according to the labeling information for the respective class clusters.

Data labeling method based on artificial intelligence, apparatus and storage medium

A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

Acquiring public opinion and training word viscosity model

The invention 'simulation device and method for studying the influence of wetland plant litter decomposition on water quality', belongs to the ecological engineering field. The simulation device comprises a distributing reservoir, a planting pool and a discharge bay, and the three are connected successively through a first-level pipeline; the distributing reservoir is used to supply water to the planting pool; the discharge bay is used to collect wastewater discharged from the planting pool; the planting pool comprises a plurality of planting units; the planting unit is a container-like structure and used to hold the planting substrate and plant wetland plants on the planting substrate. By using the simulation device and/or simulation method of the invention, the whole process of the influence of plant litters especially wetland plants litters on water quality under natural state can be highly simulated and restored.

Simulation device and method for studying the influence of wetland plant litter decomposition on water quality

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Beijing, China

Xu Pan