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TweetSum: Automated News Summarization of Twitter Trends
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 165 - Number 8 |
| Year of Publication: 2017 |
| Authors: Chaitali Khandekar, Raj Daiya, Rhea Parekh, Kavita Kelkar |
10.5120/ijca2017913944
|
Chaitali Khandekar, Raj Daiya, Rhea Parekh, Kavita Kelkar . TweetSum: Automated News Summarization of Twitter Trends. International Journal of Computer Applications. 165, 8 ( May 2017), 5-8. DOI=10.5120/ijca2017913944
Abstract
In the recent times, content generated on social blogging sites has become an encyclopedic source of information for every concerned topic in the world[4]. These sites have enabled people to contribute to the vastness of the content available on the internet. During such times, the amount of disorganized and repetitive information generated through these platforms has complicated the means to get the key information. The application that we propose takes an input phrase from the user, captures all tweets related to it and uses them to create a summary from the content already available on the internet.
References
- Dunwei Wen, Geoffrey Marshall (2014), Automatic twitter Topic Summarization [online], Available: http://ieeexplore.ieee.org/document/7023580/#full-text-section
- David Inouye, Jugal K. Kalita (2011), Comparing Twitter summarization algorithms for Multiple Post Summaries [online], Available: http://ieeexplore.ieee.org/abstract/document/6113128/
- Mr. G. S. Mane, Mrs. A. R. Kulkarni (2015), Twitter Event Summarization Using Phrase Reinforcement Algorithm and NLP Features [online], Available: http://www.ijritcc.org/download/1423973129.pdf
- Srishti Sharma, Kanika Aggarwal, Palak Papneja, Saheb Singh (2015), Extraction, summarization and sentiment analysis of trending topics on Twitter, Available: http://ieeexplore.ieee.org/document/7346696/
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