LEADER 04124nam 22006015 450 001 9910869173403321 005 20240701125248.0 010 $a9789819732920$b(electronic bk.) 010 $z9789819732913 024 7 $a10.1007/978-981-97-3292-0 035 $a(MiAaPQ)EBC31509938 035 $a(Au-PeEL)EBL31509938 035 $a(CKB)32625639600041 035 $a(DE-He213)978-981-97-3292-0 035 $a(Exl-AI)31509938 035 $a(EXLCZ)9932625639600041 100 $a20240701d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 12th International Conference on Soft Computing for Problem Solving $eSocProS 2023, Volume 2 /$fedited by Millie Pant, Kusum Deep, Atulya Nagar 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (922 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v995 311 08$aPrint version: Pant, Millie Proceedings of the 12th International Conference on Soft Computing for Problem Solving Singapore : Springer Singapore Pte. Limited,c2024 9789819732913 327 $aPreface -- Contents -- Editors and Contributors -- Using Opinionated-Objective Terms to Improve Lexicon-Based Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Pre-processing -- 3.3 Lexicon Generation -- 3.4 Corpus Statistics -- 3.5 Evaluation Approach and Metrics -- 4 Results -- 5 Conclusion -- 5.1 Theoretical and Practical Implications -- 5.2 Limitation and Future Work -- References -- Explaining the Artificial Neural Network Using Evolutionary Fuzzy Association Rule Mining (EFARM) -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 FARM (Fuzzy Association Rule Mining) -- 3.2 NSGA-II -- 4 Proposed Methodology -- 4.1 Data Transformation and Training of the ANN Model -- 4.2 Rule Extraction -- 4.3 Designing of NSGA-II -- 5 Result and Analysis -- 6 Conclusion -- References$7Generated by AI. 330 $aThis book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11?13 August 2023. This book presents the latest achievements and innovations in the interdisciplinary areas of soft computing, machine learning, and data science. It covers original research papers in the areas of algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and health care, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v995 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aAlgorithms 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aAlgorithms. 676 $a006.3 700 $aPant$b Millie$01743579 701 $aDeep$b Kusum$01743580 701 $aNagar$b Atulya$01738124 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910869173403321 996 $aProceedings of the 12th International Conference on Soft Computing for Problem Solving$94171731 997 $aUNINA