Analysis of Images, Social Networks and Texts 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers

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.