LEADER 04988nam 22008055 450 001 9910373905203321 005 20200701133828.0 010 $a981-15-1216-7 024 7 $a10.1007/978-981-15-1216-2 035 $a(CKB)4100000010118971 035 $a(DE-He213)978-981-15-1216-2 035 $a(MiAaPQ)EBC6028045 035 $a(PPN)242843271 035 $a(EXLCZ)994100000010118971 100 $a20200124d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning-Based Approaches for Sentiment Analysis /$fedited by Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 319 p.) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7565 311 $a981-15-1215-9 320 $aIncludes bibliographical references. 327 $aChapter 1. Application of Deep Learning Approaches for Sentiment Analysis: A Survey -- Chapter 2. Recent Trends and Advances in Deep Learning based Sentiment Analysis -- Chapter 3. - Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews -- Chapter 4. Toxic Comment Detection in Online Discussions -- Chapter 5. Aspect Based Sentiment Analysis of Financial Headlines and Microblogs -- Chapter 6. Deep Learning based frameworks for Aspect Based Sentiment Analysis -- Chapter 7. Transfer Learning for Detecting Hateful Sentiments in Code Switched Language -- Chapter 8. Multilingual Sentiment Analysis -- Chapter 9. Sarcasm Detection using deep learning -- Chapter 10. Deep Learning Approaches for Speech Emotion Recognition -- Chapter 11. Bidirectional Long Short Term Memory Based Spatio-Temporal In Community Question Answering -- Chapter 12. Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language. 330 $aThis book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field. . 410 0$aAlgorithms for Intelligent Systems,$x2524-7565 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aData mining 606 $aOptical data processing 606 $aNatural language processing (Computer science) 606 $aComputational intelligence 606 $aNeural networks (Computer science)  606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aData mining. 615 0$aOptical data processing. 615 0$aNatural language processing (Computer science). 615 0$aComputational intelligence. 615 0$aNeural networks (Computer science) . 615 14$aSignal, Image and Speech Processing. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aNatural Language Processing (NLP). 615 24$aComputational Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a006.31 702 $aAgarwal$b Basant$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNayak$b Richi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMittal$b Namita$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPatnaik$b Srikanta$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373905203321 996 $aDeep Learning-Based Approaches for Sentiment Analysis$92517324 997 $aUNINA