图书简介

​Text and Sentiment Analysis.- Ensemble Learning Model for Medical Text Classification.- Fuzzy Based Text Quality Assessment for Sentiment Analysis.- Prompt-Learning for Semi-Supervised Text Classification.- Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification.- Fast Text Comparison Based on ElasticSearch and Dynamic Programming.- Question Answering and Information Retrieval.- User Context-aware Attention Networks for Answer Selection.- Towards Robust Token Embeddings for Extractive Question Answering.- Math Information Retrieval with Contrastive Learning of Formula Embeddings.- Social Media and News Analysis.- Influence Embedding from Incomplete Observations in Sina Weibo.- Dissemination of Fact-checked News does not Combat False News: Empirical Analysis.- Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream.- Leveraging Social Networks for Mergers and Acquisitions Forecasting.- Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning.- Security and Privacy.- Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks.- ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism.- Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicle Edge Computing.- Priv-S: Privacy-Sensitive Data Identification in Online Social Networks.- TLEF: Two-Layer Evolutionary Framework for t-closeness Anonymization.- A Dual-Layer Privacy-Preserving Federated Learning Framework.- A Privacy-Preserving Evolutionary Computation Framework for Feature Selection.- Local Difference-based Federated Learning Against Preference Profiling Attacks.- Proximity-based MAENS: A Computational Intelligence Method for Privacy-Preserving Multiple Traveling Salesmen Problem.- Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction.- ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection.- Web Technologies.- Web Page Segmentation: A DOM-structural Cohesion Analysis Approach.- Learning to Select the Relevant History Turns in Conversational Question Answering.- A Methodological Approach for Data-intensive Web Application Design on top of Data Lakes.- ESPRESSO: A Framework for Empowering Search on Decentralized Web.- Primary Building Blocks for Web Automation.- A Web Service Oriented Integration Solution for Capital Facilities Information Handover.- Deep Neural Network based approach for IoT service QoS prediction.- Graph Embeddings and Link Predictions.- Path-KGE: Preference-aware Knowledge Graph Embedding with Path Semantics for Link Prediction.- Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes.- Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models.- FastAGEDs: Fast Approximate Graph Entity Dependency Discovery.- Topological Network Field Preservation For Heterogeneous Graph Embedding.- Predictive Analysis and Machine Learning.- Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions.- TSEGformer:Time-Space dimension dependency transformer for use in multivariate time series prediction.- Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models.- Prediction of Student Performance with Machine Learning Algorithms

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