Analysis of Images, Social Networks and Texts
Springer International Publishing (Verlag)
978-3-031-16499-6 (ISBN)
Invited Papers.- On Georgian Text Processing Toolkit Development.- Taxonomy Enrichment with Text and Graph Vector Representation.- Natural Language Processing.- Near-Zero-Shot Suggestion Mining with a Little Help from WordNet.- Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups.- Building a Combined Morphological Model for Russian Word Forms.- SocialBERT -- Transformers for Online Social Network Language Modelling.- Lexicon-based Methods vs. BERT for Text Sentiment Analysis.- Multilingual Embeddings for Clustering Cultural Events.- Jokingbird: Funny Headline Generation for News.- Learning to Rank with Capsule Neural Networks.- Building a Bilingual QA-system with ruGPT-3.- Sculpting enhanced dependencies for Belarusian.- Improving morpheme segmentation using BERT embeddings.- Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages.- Computer Vision.- Development of a method for iris-based person recognition using convolutional neural networks.- Data dimension reduction technique based on preservation of Hellinger divergence.- Group-level Affect Recognition in Video using Deviation of Frame Features.- Outfit Recommendation Using Visual Similarity.- Data Analysis and Machine Learning.- Scalable computation of prediction intervals for neural networks with matrix sketching.- Application of Data Analysis Methods for Optimizing the Multifunctional Service Center Operation.- Depression Detection by Person's Voice.- Social Network Analysis.- Research Papers Recommendation.- Multimodal Space of Users' Interests and Preferences in Social Networks.- Citation network applications in a scientific co-authorship recommender system.- Theoretical Machine Learning and Optimization.- How Fast Can the Uniform Capacitated Facility Location Problem Be Solved on Path Graphs.- On a weakly supervised classification problem.- A Local Search Algorithm for the Biclustering Problem.
Erscheinungsdatum | 03.11.2022 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XXIII, 345 p. 88 illus., 64 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 569 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • Collaborative and social computing • Computational Linguistics • Computer Science • conference proceedings • Databases • Data Mining • Deep learning • Informatics • Information Retrieval • machine learning • Natural Language Processing (NLP) • Neural networks • Research • Semantics • semantic web and ontologies |
ISBN-10 | 3-031-16499-7 / 3031164997 |
ISBN-13 | 978-3-031-16499-6 / 9783031164996 |
Zustand | Neuware |
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