[PDF][PDF] Categorising Vaccine Confidence with Transformer-Based Machine Learning Model: The Nuances of Vaccine Sentiment on Twitter

P Kummervold, S Martin, S Dada, E Kilich… - … Preprint posted online …, 2021 - academia.edu
… this analysis, in addition to inform potentially effective and … trained it on a domain-specific
corpus. We started creating domain-… to get an accuracy of 63.1% and are able to improve this to …

[PDF][PDF] Data acquisition and prosodic analysis for Mandarin attitudinal speech

W Gu, H Fujisaki - Eastward Flows the Great River: Festschrift in …, 2013 - researchgate.net
Using the induction technique, a speech corpus was … Negative attitudes are obviously
perceived more accurately, … we have defined, a more comprehensive classification of real-world …

[引用][C] Object classification using PLSA and sparse representation

JW Hsieh, Y Yan, LC Chen, HF Chiang, HY Liu - … 13th International Conference on, 2014

[引用][C] A study of guided concordance use on English vocabulary learning for writing by Chinese-L1 college students

HC Liou, YC Lin - Research into Second Language Chinese and English …, 2017

[引用][C] Stock prediction using Web news articles

TH Huang, ZY Li - Technical Report, 2008

[引用][C] Microblogging sentiment analysis method based on text semantics and expression tendentiousness

W Wang, SF Wang, HH Li - J Nanjing Univ Sci Technol, 2014

基于三支决策的中文文本分类算法研究

靳义林, 胡峰 - 南京大学学报(自然科学版), 2018 - jns.nju.edu.cn
… Finally,through the experiments on Fudan University corpus,… effectively improve the accuracy
of Chinese text classification. … method based on self-training and LDA topic models. Expert …

基于深度学习混合模型的文本分类研究

周超 - 2016 - ir.lzu.edu.cn
model based on deep learning and design a text classifier … slightly better than Naive Bayes
classifier , KNN classifier and … In the experiment of Chinese text classification, Chinese corpus

應用文字探勘技術於半導體設備故障履歷之研究

吳俊緯 - 中原大學機械工程學系學位論文, 2020 - airitilibrary.com
… This research uses text mining, through programming, using … 4 equipment failures as the
corpus is discussed. When the … , and the accuracy rate at 10 topic models can be more than 93%…

基于关键-grams 和门控循环神经网络的文本分类模型

赵倩, 吴悦, 刘宗田 - 上海大学学报(自然科学版), 2021 - journal.shu.edu.cn
… the fusion model of the two features to the text classification task… proposed method can
improve text classification effectiveness … and 1.55% on the Rotten Tomatoes corpus. Key words: …