GitHub - SayamAlt/News-Summarization-using-Seq2Seq-Attention: Successfully developed a news summarization model using a Seq2Seq architecture with attention mechanism to generate concise and contextually accurate summaries from long-form news articles.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
train		train
validation		validation
.gitignore		.gitignore
model.png		model.png
news-summarization-using-seq2seq-attention.ipynb		news-summarization-using-seq2seq-attention.ipynb
projector_config.pbtxt		projector_config.pbtxt

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Successfully developed a news summarization model using a Seq2Seq architecture with attention mechanism to generate concise and contextually accurate summaries from long-form news articles.