This book constitutes the refereed proceedings of the 12th International Conference on Analysis of Images, Social Networks and Texts, AIST 2024, held in Bishkek, Kyrgyzstan, during October 17–19, 2024.

The

.- Keynote and Invited Papers.

.- KyrgyzNLP: Challenges, Progress, and Future.

.- Modeling Information Influence and Control in Social Networks: Integrating Opinions, Trust, Reputation, and Agent Dynamics.

.- Natural Language Processing.

.- Graphical Abbreviation Disclosure in Russian Language.

.- Iterative Improvement of an Additively Regularized Topic Model.

.- Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases.

.- Shrink the longest: improving latent space isotropy with simplicial geometry.

.- Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation.

.- GERA: a corpus of Russian school texts annotated for Grammatical Error Correction.

.- From Tokens to Tales: Semantic Similarity in Story Generation.

.- Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning.

.- Computer Vision.

.- Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition.

.- YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections.

.- Data Analysis and Machine Learning.

.- An optimal set of implications in triadic contexts.

.- Uniting contrastive and generative learning for event sequences models.

.- Theoretical Machine Learning and Optimization.

.- An asymptotically optimal algorithm for the minimum weight spanning tree with arbitrarily bounded diameter on random inputs.

.- Automatic Adaptive Conformal Inference for Time Series Forecasting.