News Classification and Its Techniques: A Review
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 1
Abstract
Abstract : Text mining has gained quite a significant importance during the past few years. Data, now-a-days is available to users through many sources like electronic media, digital media and many more. This data is usually available in the most unstructured form and there exists a lot of ways in which this data may be converted to structured form. In many real-life scenarios, it is highly desirable to classify the information in an appropriate set of categories. News contents are one of the most important factors that have influence on various sections. In this paper we have considered the problem of classification of news articles. This paperpresents algorithms for category identification of news and have analysed the shortcomings of a number of algorithm approaches.
Authors and Affiliations
Gurmeet Kaur , Karan Bajaj
Keywords
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