Article Summarization Using Deep Learning

Articles are the periodical publications of the incidents and information of the current events of the society. It makes the people to be updated with the events that are being carried out in the nation. It is included with daily dose of news, sports, commerce, finance, and other many information. Another main aspect is time which is very important for everyone. Reading article is very time-consuming due to which the people becomes deprived of the outer world situations. Summarizing articles and converting them into speech make the lengthy paragraphs into small content that helps to read and understand easily. Using deep learning, we can summarize any article into small points. SpaCy is a free, open-source library for advanced natural language processing (NLP) in Python that uses deep learning technique in which there is many predefined functions and modules that helps us to summarize any articles in a meaningful manner. SpaCy is used especially for text operations and is fast, accurate, and very efficient. The summary will be converted into speech which can be listened any time while doing other work as well, and it will save time without interrupting daily life. The world and technology are being advanced day by day, everyone is running out of time, and people love multi-tasking so this project is definitely going to fulfil our all aspects.