Automatic Categorization of Essays Using Cloud Services

Abstract

The number of newspapers publishing news stories online has grown in the past few years. Therefore, preserving news articles for the future is required because of various reasons including cultural heritage, evidence of activities as well as scientific and historical. However, the stories may be lost because of the constant change in technologies used to present and publish. Certain individuals or institutes may be interested to collect information related to a specific topic or event. The idea came from various research papers to overcome the need by capturing the stories which are relevant to a topic. Information is provided to the system through a list of keywords. The tool automatically compares the keywords after extracting metadata from the articles and automatically identifies the category of the article and then stores on cloud services. The tool has the functionality of automatic categorizing the texture data and saving it on cloud. User can give input as a text file, web link or direct paste it in text box. After this user may choose to open and read details about an article of their choice.