Summarize and classify long texts
Summarize input text into shorter version
Summarize text from PDF URLs
Generate summaries from web articles or text
DataScience | MachineLearning | ArtificialIntelligence
Summarize long texts into short summaries
Generate a summary for a TED Talk
Find and summarize key points from Wikipedia articles
Generate summaries of lengthy texts
Generate text summaries and compare model outputs
Generate text summaries from articles or documents
Summarize text using LexRank, TextRank, BART, and T5 models
This is the project for arxiv pdf summarization
Multi Label Summary Text is a tool designed to summarize and classify long texts into multiple relevant labels. It helps users extract key information and categorize text efficiently, making it ideal for tasks that require both summarization and classification.
What formats does Multi Label Summary Text support?
Multi Label Summary Text supports plain text input and can generate summaries in plain text format.
Can I use custom labels?
Yes, you can define and use your own set of labels for classification, making the tool flexible for different use cases.
Is Multi Label Summary Text suitable for non-English texts?
Yes, it supports multiple languages, allowing users to summarize and classify texts in various languages.