Latest Articles for Text Analysis

Study analyzes text classification methods for subjective and objective content in five languages.

A study on machine learning methods for identifying propaganda in text.

This study examines methods to distinguish between human-written and machine-generated text.

Examining the role and challenges of tokenization in natural language processing.

A new model to evaluate chance agreement in text annotation tasks.

A new tool helps users fix misalignments in multi-modal embeddings.

Examining how text aids user comprehension in dashboard environments.

A focused approach to extract relevant keywords for defined categories.

This study highlights the importance of dataset granularity in improving image-text retrieval systems.

A new benchmark seeks to enhance evaluations of OIE systems for better performance insights.

Papilusion identifies AI-written content to uphold scientific integrity.

A new method improves evaluation accuracy in authorship verification by reducing topic leakage.

Explore recent improvements in regex functionality and performance.

This article discusses methods to hide authorship while ensuring text usability.

A new approach to coreference resolution that balances performance and resource use.

SliSum improves accuracy and consistency in text summarization using innovative techniques.

New methods improve automated question-answer relationships in writing analysis.

This study examines LLM performance on lengthy texts and offers improvement strategies.

BatchBPE offers a faster approach to tokenization in natural language processing.

A new method analyzes language models by examining their specific characteristics.

A tool detects acrostics in literature, revealing hidden messages and enhancing analysis.

A new method improves language comprehension by examining connections beyond single sentences.

Learn how Class-Incremental Learning improves authorship attribution systems.

A new dataset enhances research on summarizing movie screenplays.

Research into Latin treebanks and morphological tagging enhances understanding of ancient texts.

NeuroPapyri helps researchers analyze ancient Greek papyri using modern technology.

Researchers develop a model to identify connections in text more effectively.

FourierKAN offers a new way to improve text classification accuracy and efficiency.

A new method boosts unidirectional models' performance in token classification tasks.

This study compares first-generation Transformers with LLMs for sentiment analysis.

A study of word networks in well-formed and ill-formed texts.

This study examines how planning aids in reducing factual errors in text generation.

Introducing alterfactual explanations to enhance AI model transparency.

Introducing a new model and benchmark for Russian text processing.

Introducing RMARN: an innovative approach to connect text and 3D data.

A new method to enhance relation extraction accuracy in large language models.

TempoFormer analyzes language shifts over time, improving insights from social media.

A new method for extracting events from Portuguese narratives using advanced models.

ACE-2005-PT enhances event extraction capabilities for Portuguese language processing.

Analyzing the impact of text normalization on classifying medieval charters.