Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Summarize.py | 520 | 8 years ago | 2 | bsd-3-clause | Python | |||||
A python script for summarizing articles using nltk | ||||||||||
Building A Simple Chatbot In Python Using Nltk | 482 | a year ago | 6 | Jupyter Notebook | ||||||
Building a Simple Chatbot from Scratch in Python (using NLTK) | ||||||||||
Infomate.club | 414 | 3 months ago | 20 | apache-2.0 | Python | |||||
RSS feed aggregator with collections and NLP article summarization | ||||||||||
Proctoring Ai | 397 | a year ago | 10 | mit | Python | |||||
Creating a software for automatic monitoring in online proctoring | ||||||||||
Nlp Project | 21 | 11 years ago | 3 | other | Java | |||||
11411 Natural Language Processing Final Project. Reads wikipedia articles, and then can both answer natural-language questions about the article as well as generate comprehension questions. Built using ARKref Noun Phrase Coreference developed by Brendan O'Connor and Michael Heilman, and NLTK (a common natural language toolkit for Python). | ||||||||||
Text Summarization | 15 | a year ago | Python | |||||||
Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url. | ||||||||||
Videofy | 13 | 4 years ago | 6 | CSS | ||||||
A tool that takes an image based content article and automatically generates a motion video out of it. | ||||||||||
Pelican_article_recommender | 10 | 6 years ago | mit | Python | ||||||
Article recommendation system for pelican based on post similarity calculated using NLTK and scikit-learn's TFIDF vectorizer. | ||||||||||
Texttiling | 10 | 9 years ago | Python | |||||||
Implementation of the TextTiling algorithm for CS187 | ||||||||||
Summarizeme | 8 | 5 years ago | Python | |||||||
Program summarizes news articles into a couple of sentences. This project was inspired by SMMRY, the algorithm used in many subreddits to automate TL;DRs |