LEADER 01475nam0 2200301 i 450 001 SUN0075988 005 20110526095333.374 010 $a88-86166-64-8 100 $a20100628d1998 |0itac50 ba 101 $aita 102 $aIT 105 $a||||Z 1|||| 200 1 $aˆLa ‰porpora$erealtà e immaginario di un colore simbolico$eatti del Convegno di studio, Venezia, 24 e 25 ottobre 1996$fa cura di Oddone Longo 205 $aVenezia : Istituto veneto di scienze lettere ed arti$b1998 210 $d475 p. : ill. ; 24 cm 215 $aSegue: La porpora: catalogo della Mostra promossa in concomitanza al Convegno di studio: Venezia, Palazzo Loredan, campo S. Stefano, 24 ottobre-3 novembre 1996, a cura di Doretta Davanzo Poli. 620 $dVenezia$3SUNL000080 676 $a667.2609$v21 702 1$aLongo$b, Oddone$3SUNV054690 702 1$aDavanzo Poli$b, Doretta$3SUNV066212 712 02$aIstituto veneto di scienze, lettere ed arti$3SUNV018729 712 $aIstituto veneto di scienze, lettere ed arti$3SUNV000979$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0075988 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$d07 CONS D Venezia 1996-a $e07 19478 (aula tesi) 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$bIT-CE0103$h19478$kCONS D Venezia 1996-a (aula tesi)$oc$qa 996 $aPorpora$91262590 997 $aUNICAMPANIA LEADER 04474nam 22007815 450 001 9910373905203321 005 20251113200116.0 010 $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 :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 319 p.) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7573 311 08$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,$x2524-7573 606 $aSignal processing 606 $aData mining 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aNatural language processing (Computer science) 606 $aComputational intelligence 606 $aNeural networks (Computer science) 606 $aSignal, Speech and Image Processing 606 $aData Mining and Knowledge Discovery 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aNatural Language Processing (NLP) 606 $aComputational Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aSignal processing. 615 0$aData mining. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aNatural language processing (Computer science). 615 0$aComputational intelligence. 615 0$aNeural networks (Computer science). 615 14$aSignal, Speech and Image 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