Latest Articles for Text Analysis

This study uses computational methods to analyze running titles in historical texts.

A method using text analysis to assess political opinions effectively.

Explore how machine translation improves multilingual classifiers with innovative techniques.

This method classifies text claims efficiently with minimal data.

This framework improves text evaluation efficiency and accuracy using Large Language Models.

Analyzing Twitter bios using large language models for effective text clustering.

This study examines how different word types affect sentiment judgment in TripAdvisor reviews.

Research shows simple classifiers can spot unique patterns in AI-generated text.

This article explores a new method for generating high-resolution images from text.

Explore how PG-RAG enhances knowledge retrieval for language models.

Research reveals a method to improve multi-modal model performance by addressing representation gaps.

A new framework enhances the detection of complex ideologies in texts.

A framework to link image processing and text interpretation in vision models.

SCRN offers a reliable way to identify AI-generated content effectively.

A new method enhances event resolution by combining language models for better accuracy.

Exploring multi-label classification to enhance discourse relation recognition.

This study enhances text classification accuracy using a new framework for LLMs.

This article analyzes the performance of fine-tuned models versus generative AI in text classification tasks.

This study examines how figurative language aids in identifying writing style and authorship.

GloVe-V improves word embeddings by measuring uncertainty in vector representations.

A new approach to classify human and machine-generated texts more effectively.

A new method to enhance language models' performance with long texts.

New methods improve the clarity of text through effective proposition segmentation.

A novel approach to ensure privacy while maintaining text utility in NLP models.

Study evaluates methods to identify machine-generated text across various datasets.

New models enhance automatic tagging of Medieval Latin texts for better analysis.

This article examines methods for assessing text summaries using large language models.

New methods improve privacy and coherence using collocations in language data.

This study analyzes how language models adjust explanations for varying reading levels.

Researchers examine methods to secure sensitive information in text classification models.

A new method enhances document-level relation extraction using efficient data selection.

Neurocache enhances language models' ability to handle long texts effectively.

A study on distinguishing AI-generated text from human writing.

A look into methods and challenges of generating counterfactuals in NLP.

Introducing a method to improve sentiment extraction in text through latent dependency trees.

Evaluating the effectiveness of a text analysis method on ancient poetry.

Combining CDAWG and SLG for effective pattern matching in compressed text.

A new method for effective topic modeling in large texts.

Analyzing how LLMs manage text inaccuracies in real-world scenarios.

Analyzing authorship through stylometry in a famous literary mystery.