In recent years, the rise in textual data has necessitated the demand and development of efficient text summarization techniques. In order to provide text summaries that are accurate, useful, coherent ...

Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders.

Extractive text summarization was conducted on the LLM- and human-generated feedback and semantic text matching were used to identify overlaps. Additionally, the authors surveyed 308 researchers who ...

Here’s how to build and utilize shortcuts for text summarization and image creation: Step 1: Setting the Stage: Open the Shortcuts app on your Mac. Click the “+” button to create a new shortcut. Give ...

Problem Summary When using Google Cloud ADK Web UI, tool function results are not displaying in the main chat interface despite functions executing successfully. Results are only visible in the ...

A Python-based text summarization project using NLP techniques like transformers and Hugging Face. Supports both extractive and abstractive methods with a Streamlit web app interface.