GIBE 发表于 2025-3-23 10:36:54

Prediction and Classification of Biased and Fake News Using NLP and Machine Learning Models,essive classifier has been used. The accuracy achieved for fake news classification using passive aggressive is 95.9%. The bias of an article is calculated based on the sentiment score and the score assigned to the author and publisher based on their average bias score.

一大块 发表于 2025-3-23 16:29:13

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GLOSS 发表于 2025-3-23 19:05:30

Conference proceedings 2021velopments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing..

世俗 发表于 2025-3-24 00:33:26

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cringe 发表于 2025-3-24 05:11:21

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褪色 发表于 2025-3-24 07:59:35

Stock Market Prediction Using Long Short-Term Memory Model, 2019. The goal is to forecast the closing share of Infosys Limited based on the training data provided to the model. The accuracy is calculated on the basis of RMSE and the model has achieved an RMSE of 27.5 which is better than other models. Therefore, LSTM Model works efficiently with the real-time requirements.

Prostatism 发表于 2025-3-24 13:25:20

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interrogate 发表于 2025-3-24 15:40:06

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拥挤前 发表于 2025-3-24 22:00:12

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手工艺品 发表于 2025-3-24 23:23:02

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查看完整版本: Titlebook: Machine Learning and Information Processing; Proceedings of ICMLI Debabala Swain,Prasant Kumar Pattnaik,Tushar Athaw Conference proceedings