An Exploratory Assessment on Text Summarization

Author:

Nishitha P.1,Sarika T.2,Vijayakumari E. N.3,Vuyyuru Asha4,SilpaRaj M5,Mohanty Jnyana Ranjan6

Affiliation:

1. MLR Institute of Technology,Department of Assistant Computer science and Information Technology,Hyderabad

2. MLR Institute of Technology,Department of Computer science and Information Technology,Hyderabad

3. MLR Institute of Technology,Department of Computer science Engineering,Hyderabad

4. BVRIT HYDERABAD College of Engineering for Women,Department of Computer Science and Engineering (AIML),Hyderabad

5. CVR College of Engineering,Department of Computer Science and Engineering (Cyber Security),Hyderabad,501510

6. Kalinga Institute of Industrial, Technology University,India

Publisher

IEEE

Reference18 articles.

1. Text summarization using Wikipedia

2. Automatic text summarization withcontext-based keyword extraction;Lanjewar;International Journal of Advance Research in Computer Science and Management Studies,2015

3. Automatic multi-document summarization for Indonesian documents using hybrid abstractive-extractive summarization technique

4. Improving Performance of Text Summarization;Pallavi

5. Statistics-based summarization-step one: Sentence compression;Knight;AAAI/IAAI,2000

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