LEADER 03644nam 22005295 450 001 9910299459603321 005 20200705065051.0 010 $a3-319-73531-4 024 7 $a10.1007/978-3-319-73531-3 035 $a(CKB)4100000002892262 035 $a(DE-He213)978-3-319-73531-3 035 $a(MiAaPQ)EBC6314099 035 $a(MiAaPQ)EBC5589130 035 $a(Au-PeEL)EBL5589130 035 $a(OCoLC)1029870455 035 $a(PPN)225553392 035 $a(EXLCZ)994100000002892262 100 $a20180319d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for Text /$fby Charu C. Aggarwal 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXIII, 493 p. 80 illus., 4 illus. in color.) 311 $a3-319-73530-6 327 $a1 An Introduction to Text Analytics -- 2 Text Preparation and Similarity Computation -- 3 Matrix Factorization and Topic Modeling -- 4 Text Clustering -- 5 Text Classification: Basic Models -- 6 Linear Models for Classification and Regression -- 7 Classifier Performance and Evaluation -- 8 Joint Text Mining with Heterogeneous Data -- 9 Information Retrieval and Search Engines -- 10 Text Sequence Modeling and Deep Learning -- 11 Text Summarization -- 12 Information Extraction -- 13 Opinion Mining and Sentiment Analysis -- 14 Text Segmentation and Event Detection. 330 $aText analytics is a field that lies on the interface of information retrieval, machine learning, and natural language processing. This book carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this book span three broad categories: 1. Basic algorithms: Chapters 1 through 8 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This book covers text analytics and machine learning topics from the simple to the advanced. Since the coverage is extensive, multiple courses can be offered from the same book, depending on course level. 606 $aData mining 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aData mining. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aAggarwal$b Charu C$4aut$4http://id.loc.gov/vocabulary/relators/aut$0518673 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299459603321 996 $aMachine Learning for Text$92175811 997 $aUNINA LEADER 04207nam 22007215 450 001 9910523755703321 005 20250630094713.0 010 $a3-030-84255-X 024 7 $a10.1007/978-3-030-84255-0 035 $a(CKB)5100000000152503 035 $a(MiAaPQ)EBC6856452 035 $a(Au-PeEL)EBL6856452 035 $a(PPN)259386707 035 $a(DE-He213)978-3-030-84255-0 035 $a(EXLCZ)995100000000152503 100 $a20211203d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCoastal Ecosystems $eEnvironmental importance, current challenges and conservation measures /$fedited by Sughosh Madhav, Sadaf Nazneen, Pardeep Singh 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (392 pages) 225 1 $aCoastal Research Library,$x2211-0585 ;$v38 311 08$a3-030-84254-1 327 $aChapter1. Ecosystem services provided by various coastal ecosystems -- Chapter2. Sediment biogeochemistry in the coastal ecosystem -- Chapter3. Biogeochemical processes of natural organic matter in coastal ecosystems -- Chapter4. Role of the coastal ecosystem as a natural buffer and carbon sink -- Chapter5. Biogeochemical response of coastal systems to natural calamities -- Chapter6. Impact of agricultural activities on the coastal ecosystem: Nutrient contamination and Eutrophication -- Chapter7. Heavy metal contamination in coastal ecosystems -- Chapter8. Microplastic and emerging contaminants in coastal ecosystems -- Chapter9. Impact of urbanization and industrialization on the coastal ecosystem -- Chapter10. Effect of climate change on the coastal ecosystem -- Chapter11. Biodiversity in coastal habitats -- Chapter12. Coastal Ecosystems and human well being -- Chapter13. Application of various technologies and strategies for the conservation of coastal ecosystem -- Chapter14. Government policies and Society involvement for the management of aquatic ecosystem -- Chapter15. Coastal Ecosystems of India, their Conservation and Management Policies: A Review. 330 $aThis volume incorporates theoretical and practical knowledge through case studies and reviews to serve as a baseline of information for coastal ecosystem research, and discusses the impacts of pollution, industrialisation, agriculture and climate change on coastal ecosystem biogeochemistry and biodiversity. The case studies address the role of coastal ecosystems as a carbon sink which is getting impacted by anthropogenic disturbances. Through this analysis, the book covers various strategies for the conservation and management of coastal ecosystems, considering their unique ecological and biogeochemical attributes and region-specific threats and impacts. The book will be of interest to a wide range of readers including students, researchers and professionals in coastal ecosystem science, coastal pollution, climate change adaptation, biodiversity conservation and environmental management. . 410 0$aCoastal Research Library,$x2211-0585 ;$v38 606 $aEcology 606 $aBiogeography 606 $aPhysical geography 606 $aFreshwater ecology 606 $aMarine ecology 606 $aPollution 606 $aEnvironmental Sciences 606 $aBiogeosciences 606 $aEarth System Sciences 606 $aFreshwater and Marine Ecology 606 $aPollution 615 0$aEcology. 615 0$aBiogeography. 615 0$aPhysical geography. 615 0$aFreshwater ecology. 615 0$aMarine ecology. 615 0$aPollution. 615 14$aEnvironmental Sciences. 615 24$aBiogeosciences. 615 24$aEarth System Sciences. 615 24$aFreshwater and Marine Ecology. 615 24$aPollution. 676 $a577.51 700 $aMadhav$b Sughosh$01080759 702 $aNazneen$b Sadaf 702 $aSingh$b Pardeep 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523755703321 996 $aCoastal Ecosystems$92594057 997 $aUNINA