Sentiment Analysis on IMDB Movie Reviews using VADER with Lexical Affinity and Semantic Sentiment Expansion
J Dsouza - 2023 4th IEEE Global Conference for Advancement …, 2023 - ieeexplore.ieee.org
Sentiment analysis plays a crucial role in understanding public opinion and user sentiments
in vast amounts of textual data available on the web. In this research paper, we present a …
in vast amounts of textual data available on the web. In this research paper, we present a …
Machine learning techniques for blockchain technology
IS Arafat, S Karthiyayini, SMH Nishath… - Big Data and …, 2024 - books.google.com
The concepts, techniques, and methodologies that are essential for understanding and
harnessing the power of artificial intelligence encompass a vast and complex landscape …
harnessing the power of artificial intelligence encompass a vast and complex landscape …
Movie Recommendation System using RNN and Cognitive thinking
S Labde, V Karan, S Shah… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Systems such as Netflix, Amazon, Flipkart, etc. have a huge user base spanning the entire
globe. The products and services that these giants provide are also commensurately …
globe. The products and services that these giants provide are also commensurately …
Machine learning techniques for blockchain technology: A review of recent advances and unresolved issues
IS Arafat, S Karthiyayini, SMH Nishath… - Big Data and Blockchain … - taylorfrancis.com
The integration of machine learning (ML) and deep learning (DL) with blockchain
technology has emerged as a viable approach to improving intelligence applications in a …
technology has emerged as a viable approach to improving intelligence applications in a …
[PDF][PDF] An Anomaly Prediction of Spark Log Based on Self-Attention GRU Network
Y Gong, X Chen, X Zhang, H Xu, X Zhang, H Wang - scitepress.org
This paper proposes a GRU network training prediction model to solve the problem of the
difficulty of separating time series in Spark framework, so that the abnormal prediction model …
difficulty of separating time series in Spark framework, so that the abnormal prediction model …