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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
Physica D: Nonlinear Phenomena, 2020 Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blogs, and implementation guides.
Alex Sherstinsky
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Distributed Online Pre-Processing Framework for Big Data Sentiment Analytics [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Performing sentiment analysis on social networks big data can be helpful for various research and business projects to take useful insights from text-oriented content.
M. Molaei, D. Mohamadpur
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DESIGNING EFFECTIVE CHATBOT SYSTEM USING GRU WITH BEAM SEARCH
ICTACT Journal on Soft Computing, 2022 Artificial Intelligence (AI) based Chatbot is a moderately new technology in the world. AI and Natural Language Processing (NLP) empowers a Chatbot to converse like a human being.
Sandeep A. Thorat +2 more
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Successive Image Generation from a Single Sentence [PDF]
ITM Web of Conferences, 2021 Through various examples in history such as the early man’s carving on caves, dependence on diagrammatic representations, the immense popularity of comic books we have seen that vision has a higher reach in communication than written words. In this paper,
Parab Amogh +4 more
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Click-through rate prediction model based on a deep neural network
工程科学学报, 2022 The click-through rate (CTR) prediction task is to estimate the probability that a user will click an item according to the features of user, item, and contexts.
Hong-li LIU +4 more
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Gated Recurrent Unit Based On Feature Attention Mechanism For Physical Behavior Recognition Analysis
Journal of Applied Science and Engineering, 2022 In order to overcome the problem that traditional machine learning methods rely heavily on artificial feature selection and have low recognition accuracy in the field of human behavior recognition, a deep learning model based on multi-layer recurrent ...
Wen Ying
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Review on recent Computer Vision Methods for Human Action Recognition
Advances in Distributed Computing and Artificial Intelligence Journal, 2022 The subject of human activity recognition is considered an important goal in the domain of computer vision from the beginning of its development and has reached new levels. It is also thought of as a simple procedure.
Azhee Wria Muhamada, Aree A. Mohammed
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Proceedings of the 2008 ACM symposium on Applied computing, 2008 The amount of data collected and stored in databases is growing considerably in almost all areas of human activity. In complex applications the data involves several relations and proposionalization is not a suitable approach. Multi-Relational Data Mining algorithms can analyze data from multiple relations, with no need to transform the data into a ...
Nuno A. Fonseca +2 more
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Proceedings of the 34th ACM International Conference on Supercomputing, 2020 Recurrent neural networks (RNNs) have been widely adopted in temporal sequence analysis, where realtime performance is often in demand. However, RNNs suffer from heavy computational workload as the model often comes with large weight matrices. Pruning schemes have been proposed for RNNs to eliminate the redundant (close-to-zero) weight values.
Shi, Runbin +8 more
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SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS
Barekeng, 2023 Sentiment analysis is a form of machine learning that functions to obtain emotional polarity values or data tendencies from data in the form of text. Sentiment analysis is needed to analyze opinions, sentiments, reviews, and criticisms from someone for a
Muhammad Nazhif Abda Putera Khano +3 more
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