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...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Subjects:	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
Online Access:	ONIX_20260416T142754_9783725861392_15
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Text Mining

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