Abstractive Text Summarization Using Hybrid Technique of Summarization
This research proposed an abstractive text summarization model that gets data from source data or other documents and two summaries of this are generated, one from a philologist and the other by proposed model.
Abstract
Abstractive text summarization focuses at compress the document into a shorter form while keeping the connotation intact. The extractive summary can select chunks of sentences that are very related to the document, on the other hand, an abstractive summary can generate a summary based on extracted keywords. This research proposed an abstractive text summarization model, it gets data from source data (e.g., Daily Mail/CNN) or other documents and two summaries of this are generated. one from a philologist and the other by proposed model. The summary generated by the philologist kept as a model to compare with the machine-generated summary. The proposed model increased the accuracy and the readability of the summary.