Text Mining
Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neura...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Subjects: | |
| Acceso en liña: | ONIX_20260416T142754_9783725861392_15 |
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| _version_ | 1869530895948447744 |
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| collection | Directory of Open Access Books |
| description | Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting as central challenges. This Special Issue comprises two survey papers and sixteen research articles, all addressing practical aspects of text mining. The surveys review methods for financial market prediction through social media analysis and sentiment detection, and provide a synthesis of techniques, evaluation strategies, and applications of recommender systems across domains including e-commerce, social media, and online learning. The research articles extend to text classification, sentiment analysis, summarization, and natural language understanding, as well as corpus construction and e-governance applications. Contributions include a large-scale Chinese toponym corpus, CHTopo, deep learning models for tourist behaviour prediction, semantic optimization of artifact presentation, BERT-based knowledge extraction for agricultural ontology construction, and transformer-based approaches for detecting moral features in television narratives. |
| format | Online |
| id | doab-20.500.12854ir-175260 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1752602026-04-16T19:56:22Z Text Mining Liu, Fei Text mining Sentiment analysis Financial market prediction Big data analytics News Social media Aspect-based sentiment analysis Dependent syntactic analysis Dependency weighting Graph attention network Pretrained model Extractive text summarization Sentence scoring scheme Graph analytics Graph-based clustering Opinion mining Privacy policy Longitudinal analysis Text analysis NLP Readability Vagueness AI in literary analysis Machine learning Modern french poetry classification Feature extraction techniques SVM in poetry analysis Moral features Moral foundations theory TV series Storytelling Language analysis Genre analysis Deep learning Transformers SBERT Knowledge graph Medicine dictionary Structured triples Information extraction Question answering Artificial intelligence Text classification Genre classification Russian literature Stylometry Genres dataset Wheat sharp eyespot Knowledge extraction Domain ontology Automatic extraction Tourism Visit intention Sentence transformers Recommender system Recommendation system Applications Data sources Features Challenges Social systems Semantic separation Content presentation order Web design App design Pagination Infinite scroll User engagement Sentence classification Hybrid architecture Attention mechanism Synonym augmentation GloVe embeddings Temporal sensitivity Ensemble learning Multiple-View Summarization COVID-19 vaccine tweet summarization Microblog summarization Social feature-focused summarization Entity-based summarization Distance-centered summarization Chinese text Toponym Annotated corpus Toponym recognition Multilingual complaint classification Large language models Embedding models Instruction-based classification Zero-shot learning Few-shot inference Public transportation Resource-efficient NLP Supervised fine-tuning Public sector NLP Global digital contract Internet governance standards Internet governance rules SAR data processing AI techniques thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting as central challenges. This Special Issue comprises two survey papers and sixteen research articles, all addressing practical aspects of text mining. The surveys review methods for financial market prediction through social media analysis and sentiment detection, and provide a synthesis of techniques, evaluation strategies, and applications of recommender systems across domains including e-commerce, social media, and online learning. The research articles extend to text classification, sentiment analysis, summarization, and natural language understanding, as well as corpus construction and e-governance applications. Contributions include a large-scale Chinese toponym corpus, CHTopo, deep learning models for tourist behaviour prediction, semantic optimization of artifact presentation, BERT-based knowledge extraction for agricultural ontology construction, and transformer-based approaches for detecting moral features in television narratives. 2026-04-16T19:56:16Z 2026-04-16T19:56:16Z 2026 book ONIX_20260416T142754_9783725861392_15 9783725861392 9783725861408 https://directory.doabooks.org/handle/20.500.12854/175260 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12172 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6140-8 10.3390/books978-3-7258-6140-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725861392 9783725861408 418 CH open access |
| spellingShingle | Text mining Sentiment analysis Financial market prediction Big data analytics News Social media Aspect-based sentiment analysis Dependent syntactic analysis Dependency weighting Graph attention network Pretrained model Extractive text summarization Sentence scoring scheme Graph analytics Graph-based clustering Opinion mining Privacy policy Longitudinal analysis Text analysis NLP Readability Vagueness AI in literary analysis Machine learning Modern french poetry classification Feature extraction techniques SVM in poetry analysis Moral features Moral foundations theory TV series Storytelling Language analysis Genre analysis Deep learning Transformers SBERT Knowledge graph Medicine dictionary Structured triples Information extraction Question answering Artificial intelligence Text classification Genre classification Russian literature Stylometry Genres dataset Wheat sharp eyespot Knowledge extraction Domain ontology Automatic extraction Tourism Visit intention Sentence transformers Recommender system Recommendation system Applications Data sources Features Challenges Social systems Semantic separation Content presentation order Web design App design Pagination Infinite scroll User engagement Sentence classification Hybrid architecture Attention mechanism Synonym augmentation GloVe embeddings Temporal sensitivity Ensemble learning Multiple-View Summarization COVID-19 vaccine tweet summarization Microblog summarization Social feature-focused summarization Entity-based summarization Distance-centered summarization Chinese text Toponym Annotated corpus Toponym recognition Multilingual complaint classification Large language models Embedding models Instruction-based classification Zero-shot learning Few-shot inference Public transportation Resource-efficient NLP Supervised fine-tuning Public sector NLP Global digital contract Internet governance standards Internet governance rules SAR data processing AI techniques thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Text Mining |
| title | Text Mining |
| title_full | Text Mining |
| title_fullStr | Text Mining |
| title_full_unstemmed | Text Mining |
| title_short | Text Mining |
| title_sort | text mining |
| topic | Text mining Sentiment analysis Financial market prediction Big data analytics News Social media Aspect-based sentiment analysis Dependent syntactic analysis Dependency weighting Graph attention network Pretrained model Extractive text summarization Sentence scoring scheme Graph analytics Graph-based clustering Opinion mining Privacy policy Longitudinal analysis Text analysis NLP Readability Vagueness AI in literary analysis Machine learning Modern french poetry classification Feature extraction techniques SVM in poetry analysis Moral features Moral foundations theory TV series Storytelling Language analysis Genre analysis Deep learning Transformers SBERT Knowledge graph Medicine dictionary Structured triples Information extraction Question answering Artificial intelligence Text classification Genre classification Russian literature Stylometry Genres dataset Wheat sharp eyespot Knowledge extraction Domain ontology Automatic extraction Tourism Visit intention Sentence transformers Recommender system Recommendation system Applications Data sources Features Challenges Social systems Semantic separation Content presentation order Web design App design Pagination Infinite scroll User engagement Sentence classification Hybrid architecture Attention mechanism Synonym augmentation GloVe embeddings Temporal sensitivity Ensemble learning Multiple-View Summarization COVID-19 vaccine tweet summarization Microblog summarization Social feature-focused summarization Entity-based summarization Distance-centered summarization Chinese text Toponym Annotated corpus Toponym recognition Multilingual complaint classification Large language models Embedding models Instruction-based classification Zero-shot learning Few-shot inference Public transportation Resource-efficient NLP Supervised fine-tuning Public sector NLP Global digital contract Internet governance standards Internet governance rules SAR data processing AI techniques thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Text mining Sentiment analysis Financial market prediction Big data analytics News Social media Aspect-based sentiment analysis Dependent syntactic analysis Dependency weighting Graph attention network Pretrained model Extractive text summarization Sentence scoring scheme Graph analytics Graph-based clustering Opinion mining Privacy policy Longitudinal analysis Text analysis NLP Readability Vagueness AI in literary analysis Machine learning Modern french poetry classification Feature extraction techniques SVM in poetry analysis Moral features Moral foundations theory TV series Storytelling Language analysis Genre analysis Deep learning Transformers SBERT Knowledge graph Medicine dictionary Structured triples Information extraction Question answering Artificial intelligence Text classification Genre classification Russian literature Stylometry Genres dataset Wheat sharp eyespot Knowledge extraction Domain ontology Automatic extraction Tourism Visit intention Sentence transformers Recommender system Recommendation system Applications Data sources Features Challenges Social systems Semantic separation Content presentation order Web design App design Pagination Infinite scroll User engagement Sentence classification Hybrid architecture Attention mechanism Synonym augmentation GloVe embeddings Temporal sensitivity Ensemble learning Multiple-View Summarization COVID-19 vaccine tweet summarization Microblog summarization Social feature-focused summarization Entity-based summarization Distance-centered summarization Chinese text Toponym Annotated corpus Toponym recognition Multilingual complaint classification Large language models Embedding models Instruction-based classification Zero-shot learning Few-shot inference Public transportation Resource-efficient NLP Supervised fine-tuning Public sector NLP Global digital contract Internet governance standards Internet governance rules SAR data processing AI techniques thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725861392_15 |