Titlebook: Data Science; 6th International Co Pinle Qin,Hongzhi Wang,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 ar

Malicious

書目名稱Data Science影響因子(影響力)




書目名稱Data Science影響因子(影響力)學(xué)科排名




書目名稱Data Science網(wǎng)絡(luò)公開度




書目名稱Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Science被引頻次




書目名稱Data Science被引頻次學(xué)科排名




書目名稱Data Science年度引用




書目名稱Data Science年度引用學(xué)科排名




書目名稱Data Science讀者反饋




書目名稱Data Science讀者反饋學(xué)科排名

不可比擬

Multi-factor Fusion POI Recommendation Modelin LBSN. The POI recommendation service aims to recommend some new places that may be of interest to users, help users to better understand their cities, and improve users’ experience of the platform. Although the geographic influence, similarity of POIs, and user check-ins information have been use

丑惡

Effective Vietnamese Sentiment Analysis Model Using Sentiment Word Embedding and Transfer Learningly extensive. Supervised corpus has a positive effect on model training, but these corpus are prohibitively expensive to manually produce. This paper proposes a deep learning sentiment analysis model based on transfer learning. It represents the sentiment and semantics of words and improves the effe

邪惡的你

Construction of Word Segmentation Model Based on HMM?+?BI-LSTMmain word segmentation algorithms: dictionary-based word segmentation algorithms, statistics-based word segmentation algorithms, and understanding-based word segmentation algorithms. However, few people combine these three methods or two of them. Therefore, a Chinese word segmentation model is propo

Inordinate

集聚成團(tuán)

Feature Extraction by Using Attention Mechanism in Text Classificationso on. And machine learning model has been widely used in face recognition, automatic driving, malware detection, intelligent medical analysis and other practical tasks. In this paper, attention mechanism is proposed to combine with LSTM model to extract features in text classification. The results

集聚成團(tuán)

顯微鏡

FIR

cancer