Titlebook: Computational Intelligence in Data Science; 7th IFIP TC 12 Inter Mieczyslaw Lech Owoc,Felix Enigo Varghese Sicily,P Conference proceedings

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書目名稱Computational Intelligence in Data Science影響因子(影響力)




書目名稱Computational Intelligence in Data Science影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence in Data Science網(wǎng)絡(luò)公開度




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




書目名稱Computational Intelligence in Data Science被引頻次




書目名稱Computational Intelligence in Data Science被引頻次學(xué)科排名




書目名稱Computational Intelligence in Data Science年度引用




書目名稱Computational Intelligence in Data Science年度引用學(xué)科排名




書目名稱Computational Intelligence in Data Science讀者反饋




書目名稱Computational Intelligence in Data Science讀者反饋學(xué)科排名

Indolent

Chat Bot in Banking Sector Using Machine Learning and Natural Language ProcessingThe chat bot has advance machine learning algorithms and natural processing language to adapt for different queries and improve its performance in future and ensuring the perfect accuracy level of the answers. The system is combined with bank database so customers can see their bank details, ensurin

商議

隱士

語言學(xué)

Improved Evaluator for Subjective Answers Using Natural Language Processinguts like the user response, expected sentences and expected keywords and works with the help of numerical vectors, natural language processing and deep learning approaches and other mathematical calculations to calculate the aggregate score for an answer.

Harrowing

Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learnhese experiments, we attained exceptional F1 scores of 99% for RoBERTa, 98% for AlBERT, and 96% for BERT base. In contrast, traditional models like Logistic Regression achieved 93%, Random Forest 89%, and deep learning models such as LSTM, BiLSTM and CNN achieved 82%, 93% and 90%, respectively. The

Harrowing

個人長篇演說

引水渠

opalescence