文件列表:

Procfile (65, 2014-12-06)
app (0, 2014-12-06)
app\app.wsgi (213, 2014-12-06)
app\app (0, 2014-12-06)
app\app\__init__.py (0, 2014-12-06)
app\app\settings.py (2995, 2014-12-06)
app\app\urls.py (349, 2014-12-06)
app\app\wsgi.py (381, 2014-12-06)
app\db.sqlite3 (43008, 2014-12-06)
app\manage.py (246, 2014-12-06)
app\nltk_data (0, 2014-12-06)
app\nltk_data\chunkers (0, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker (0, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker\PY3 (0, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker\PY3\english_ace_binary.pickle (5946877, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker\PY3\english_ace_multiclass.pickle (6337102, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker\english_ace_binary.pickle (5477533, 2014-12-06)
app\nltk_data\chunkers\maxent_ne_chunker\english_ace_multiclass.pickle (5843470, 2014-12-06)
app\nltk_data\corpora (0, 2014-12-06)
app\nltk_data\corpora\stopwords (0, 2014-12-06)
app\nltk_data\corpora\stopwords\danish (424, 2014-12-06)
app\nltk_data\corpora\stopwords\dutch (453, 2014-12-06)
app\nltk_data\corpora\stopwords\english (623, 2014-12-06)
app\nltk_data\corpora\stopwords\finnish (1579, 2014-12-06)
app\nltk_data\corpora\stopwords\french (805, 2014-12-06)
app\nltk_data\corpora\stopwords\german (1349, 2014-12-06)
app\nltk_data\corpora\stopwords\hungarian (1227, 2014-12-06)
app\nltk_data\corpora\stopwords\italian (1654, 2014-12-06)
app\nltk_data\corpora\stopwords\norwegian (851, 2014-12-06)
app\nltk_data\corpora\stopwords\portuguese (1267, 2014-12-06)
app\nltk_data\corpora\stopwords\russian (1235, 2014-12-06)
app\nltk_data\corpora\stopwords\spanish (2178, 2014-12-06)
app\nltk_data\corpora\stopwords\swedish (559, 2014-12-06)
app\nltk_data\corpora\stopwords\turkish (260, 2014-12-06)
app\nltk_data\corpora\wordnet (0, 2014-12-06)
app\nltk_data\corpora\wordnet\adj.exc (23019, 2014-12-06)
... ...

TL;DR News: Automatic Summarization of News Articles ===================================================== Uses a combination of graph-based algorithms and semantic similarity measures (from WordNet) to perform extractive summarization. Requirements ---------------------- * [NetworkX](https://networkx.github.io/) * [NLTK](http://www.nltk.org/) * [NumPy](http://www.numpy.org/) * [scikit-learn](http://scikit-learn.org/stable/) * [Goose](https://github.com/grangier/python-goose) * [Django](https://docs.djangoproject.com/en/1.7/intro/install/) Usage ----- #### Web App The TLDR summarizer web app is now hosted [here] (http://news-article-summarizer.herokuapp.com/) #### Chrome Extension The browser extension is available for download from the Chrome Webstore [here] (https://chrome.google.com/webstore/detail/tldr-news-article-summari/omnkfiggdjenoclnfdhijodllleflpjk). Currently supports only [NYTimes]("http://www.nytimes.com/"). #### Testing Run the django app inside the [app](https://github.com/abhishekpant93/news-article-summarizer/tree/master/app) folder by executing `python manage.py runserver` Developers ---------- Abhishek Pant Aniruddha Gupta Ankit Jain Bhaskar Bagchi Shushman Chowdhary Rishi Rajiv Mehta Utkarsh Jaiswal

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