Text Summarizer based on TextRank Algorithm
Summarize articles using GPT-2, XLNet, or BERT
This app automates the literature review process by fetching
Generate detailed text summaries
Generate summaries of lengthy texts
Summarize long texts with various AI models
Summarize articles from URLs, text, or files
Summarize long articles into short summaries
Find and summarize key points from Wikipedia articles
Summarize text articles into bite-sized chunks
Summarize research papers with two methods
This is the project for arxiv pdf summarization
Summarize input text into shorter version
TextRankSummarizer is a text summarization tool powered by the TextRank algorithm, an unsupervised technique based on graph theory. It analyzes the text to identify the most important sentences and key phrases, providing a concise and meaningful summary of the content.
• Automatic Summarization: Generates summaries of varying lengths based on input text.
• Key Phrase Extraction: Identifies and highlights important keywords and phrases.
• Customizable: Allows users to specify the desired summary length or percentage.
• Multi-Language Support: Works with texts in multiple languages.
• Context-Aware: Focuses on maintaining context and coherence in summaries.
• Integration-Ready: Can be easily integrated into larger applications or workflows.
What is the TextRank algorithm?
The TextRank algorithm is a graph-based method for ranking text elements (sentences or words). It assigns scores to these elements based on their importance within the document, using a voting mechanism similar to Google's PageRank.
Can I customize the summary length?
Yes, TextRankSummarizer allows users to specify the desired summary length in terms of sentences or words, enabling tailored summaries for different needs.
Does it support multiple languages?
Yes, TextRankSummarizer supports multiple languages, making it versatile for global applications and diverse text sources.
How does it ensure context is maintained?
The algorithm evaluates the co-occurrence of words and their relationships, ensuring summaries remain contextually relevant and coherent.
Can it be integrated into other applications?
Yes, TextRankSummarizer is designed to be integration-friendly, allowing developers to embed its capabilities into larger systems or workflows seamlessly.