Classification and Analysis of Online News Articles using NDTV |
Author(s): |
| Namita Arun Amdalli , NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY; Santhosh Kumar K L, NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY; Jharna Majumdar, NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY |
Keywords: |
| Data Mining, Extraction, Clustering, Classification, Text Summarization, Expectation Maximization, Random Fores |
Abstract |
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News content is one of the most important factors that have influence on various sections. With the increase in the number of news it has got difficult for users to access news of their interest which makes it a necessity to categories news so that it could be easily accessed. By using data mining techniques, the news articles are categorized for easier navigation among articles. This will help users to access the news of their interest in real-time without wasting any time. Text Summarization reduces the effort and time consumption of the user instead of reading whole news article. |
Other Details |
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Paper ID: IJSRDV5I90431 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 624-628 |
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