Title:
Sentiment Analysis and Deep Learning Proceedings of ICSADL 2022
Author:
Shakya, Subarna. editor.
ISBN:
9789811954436
Edition:
1st ed. 2023.
Physical Description:
XVIII, 1014 p. 481 illus., 402 illus. in color. online resource.
Series:
Advances in Intelligent Systems and Computing, 1432
Contents:
Ranking roughly tourist destinations using BERT based semantic search -- Discerning the Application of Virtual Laboratory in Curriculum Transaction of Software Engineering Lab Course from the Lens of Critical Pedagogy -- Drought Prediction using Recurrent Neural Networks and Long Short-Term Memory model -- A Deep Learning Framework for Classification of Hyperspectral Images -- Improved Security on Mobile Payments Using IMEI Verification -- Analytics and Data Computing for the Development of the Concept Digitalization in Business and Economic Structures -- Smart Door Locking System using IoT -A Security for Railway Engine Pilots -- Designing and Implementing a Distributed Database for Microservices Cloud-Based Online Travel Portal -- A comparative study of a new customized bert for sentiment analysis -- Twitter Sentiment Analysis Using Naive Bayes Based Machine Learning Technique -- Rainfall Forecasting System Using Machine Learning Technique and IoT Technology for a Localized Region -- Infrastructure as Code (IaC): Insights on Various Platforms -- Breast Cancer Prediction using different Machine Learning Algorithm -- A Proposed System for Understanding the Consumer Opinion of a Product Using Sentiment Analysis -- Comparative study of Machine Learning and Deep learning for Fungi classification -- Personality as a predictor of Computer Science Students' Learning Motivation -- Prediction and analysis of liver disease using extreme learning machine -- Deep-learning based quality assurance of silicon detectors in Compact Muon Solenoid experiment -- An Effectual Analytics and Approach for Avoidance of Malware in Android using Deep Neural Networks -- A One-Stop Service Provider for Farmers Using Machine Learning -- Fuzzy Logic Based Control of SEPIC Converter for Vehicle to Grid Application -- Social media mining to detect mental health disorders using Machine learning -- Using Deep Learning Models for Crop and Weed Classification at Early Stage -- FaceMask detection and social distancing usingMachine Learning with Haarcascade algorithm.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-5443-6Copies:
Available:*
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