Abstractive Text Summarization Using Attentive GRU Based Encoder-Decoder

In todays era huge volume of information exists everywhere. Therefore, it is very crucial to evaluate that and extract useful, often summarized, out so may be used for relevant purposes. This extraction can achieved through a technique artificial intelligence, namely, machine learning. Indeed automatic text summarization has emerged as an important application learning in processing. this paper, english summarizer been built with GRU-based encoder decoder. Bahdanau attention mechanism added overcome the problem handling long sequences input text. A news-summary dataset train model. The output observed outperform competitive models literature. generated summary newspaper headline.