文件列表:

dataprep.py (302, 2020-02-25)
main.ipynb (53274, 2020-02-25)
requirements.txt (839, 2020-02-25)
starter.ipynb (13475, 2020-02-25)
starter.py (8114, 2020-02-25)

# News_Summarization ## Abstractive News Summarization using Sequence to Sequence models This will be text_summarization project,where we'll be using News_Summary[https://www.kaggle.com/sunnysai12345/news-summary] dataset from kaggle, and we might be working on kaggle itself.A basic knowledge of how neural networks work will be helpful. (Apart from just neural networks you'll have to learn how RNNs,LSTMs work and also the various Embedding layers- You can learn these while doing the project) I'll be equally into this project and we'll be doing it together so enthusiastic and dedicated people are all Welcome :smiley: Come let's learn together. P.S :Download the dataset [here](https://www.kaggle.com/sunnysai12345/news-summary) , then run the [dataprep.py](https://github.com/Ankita-Das/News_Summarization/blob/master/dataprep.py) file to generate the summary.csv file as a first step!

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