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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Analyzing the Computational Efficiency of LLM Models for NLP Tweet Classification During Emergency-CLSTM, and DistilBERT are four different NLP models that have been trained and tested. The findings will indicate the highest classification accuracy for determining if a tweet is informative or not. Our findings reveal that DistilBERT achieved the highest accuracy of 92.0% in testing and 89% in precision of the Twitter dataset.

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Sentiment Analysis for Stock Prediction Using Mass Media Sourcesntial fluctuations in the stock prices of the target companies. This holistic approach capitalizes on the amalgamation of Natural language processing which combined with machine learning techniques, and real-time news data, delivering invaluable insights for both investors and traders.

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Conference proceedings 2024Intelligence in Data Science, ICCIDS 2024, held in Chennai, India, during February 21–23, 2024...The 63 full papers and 9 short papers presented in these proceedings were carefully reviewed and selected from 259 submissions.?The conference papers are organized in following topical sections:..Part I:

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Aktuelle Entwicklungen zum E-Governmentnd mutation processes, uncovering the most effective configurations for text generation. This evolutionary process is designed to yield an LSTM network architecture with enhanced performance in text generation.