Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Summarization | 70 | 6 years ago | Python | |||||||
A sequence to sequence model for abstractive text summarization | ||||||||||
Oneai Node | 61 | 2 | 9 months ago | 55 | July 25, 2023 | mit | TypeScript | |||
Natural language processing - summarization, sentiment analysis, topic detection and more. | ||||||||||
Oneai Python | 35 | 8 months ago | 119 | August 13, 2023 | 2 | mit | Python | |||
Python SDK for One AI APIs. One AI is an NLP-as-a-service platform. Our APIs enables language comprehension in context, transforming texts from any source into structured data to use in code. | ||||||||||
Text Summarization And Visualization Using Watson Studio | 31 | 3 years ago | 2 | apache-2.0 | Jupyter Notebook | |||||
Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data. | ||||||||||
Text Summarization Using Nlp | 23 | a year ago | mit | Python | ||||||
Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization | ||||||||||
Split Markdown4gpt | 11 | 5 months ago | 7 | June 19, 2023 | apache-2.0 | Python | ||||
A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks. | ||||||||||
Bengali Text Summarization | 8 | a year ago | Jupyter Notebook | |||||||
Text analysis for Bengali Text Summarization using Deep Learning | ||||||||||
Tl Dr | 5 | 5 years ago | Jupyter Notebook | |||||||
An end-to-end event extraction and summarization system. | ||||||||||
Reddit Tldr Summarizer And Topic Modeling | 5 | 3 months ago | mit | Python | ||||||
Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset. |