Deep Learning Method to Estimate the Focus Time of Paragraph
Zeinab Shahbazi, Yung-Cheol Byun · International Journal of Machine Learning and Computing · 2020
There are a lot of reasons that helps to create a text document that one them is time. Time is an important aspect of texts which shows the value of text and it helps searching for various topics easier. We have different type of documents that some of them has time stamp or temporal documents and some of them are without time stamp which are atemporal documents. In this paper we explain problem of paragraph focus time using convolutional neural network (CNN) and natural language processing (NLP) to show the differences between publication time and focus time of document. We implement paragraph focus time which is explains the time period that document content refers and considered to document creation time. We defined a specific time period for this process that document data is related to that and it contains the publication time and also we evaluate our method on various text documents related to historical events in defined lines.