Abstract
Most of the time people find content writing to be difficult, despite the fact that it appears to be easy. Many struggle with language, particularly when writing letters, documents, and other forms of writing. It might so happen that the writer may not adhere to the style or format of content demanded. In such instances, one may turn to applications to help them write. Though several tools are at one’s disposal, the content thus spawned may not be up to the writers’ requirements and expectations. This paper, therefore, proposes a method by which this issue can be resolved and aid the writer in generating coherent, meaningful content taking into account the key points he/she wants included. The modus operandi involves extraction of keywords using a branch of Machine Learning called Natural Language Processing from the key points entered by the user and producing a cogent piece of content using Neural Network and NLP. This ensures that the content is moulded as per the user’s needs.
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Kabra, R., Solsi, R., Jaiswal, S., Sankhe, S., Daiya, V. (2022). Automated Content Generation System Using Neural Text Generation. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6460-1_63
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DOI: https://doi.org/10.1007/978-981-16-6460-1_63
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