PSO-Based Text Summarization Approach Using Sentiment Analysis

COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018(2019)

引用 6|浏览1
暂无评分
摘要
In the present era of technology, most of the human activities are controlled and monitored by the electronic devices and still, people are working for more advanced technology and hence to fulfill the customers requirement. Government is also promoting digitization of data which results in large volume of data. To manage digital data, some approach is required to retrieve the data efficiently. Till now, so many techniques have been proposed for retrieving data in original form as well as compact form. This paper focuses on the technique for retrieving the data (text) in compact form or summarizes form. To achieve this goal, the concept of Particle Swarm Optimization (PSO) with sentiment analysis has been used. PSO has been used in the field of text summarization and the result is remarkable. Besides PSO, Sentiment Analysis (SA) has been proved its importance in the same research field.
更多
查看译文
关键词
Information retrievals,Text summarization,Particle swarm optimization,Sentiment analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要