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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiao Wu Weihua Gao Bin Zhang Yi Hu Jinsong Liu |
| Copyright Year | 2011 |
| Abstract | The user review on a web topic is particular useful information. These reviews usually concern such sentiment or opinions as positive, negative or mixed mood which will affect other users' behaviors, psychological and cognitive activities. Classical web sentiment analysis system could not reach the real-time demand. The functions of online web sentiment analysis system are campus network net flow collection, real-time sentiment analysis and off-line Sentiment analysis on internet topic. Online Web Sentiment Analysis System is composed of Front-Monitor Node, Spider Node, Controller Node, Back-Analysis Node, and Data Warehouse Node. Experimental results show that the same subjective words can reach the different Integrated Sentiment Rate (ISR) value by Basic Sentiment Rate (BSR), Campus User Rate (CUR), Internet Topic Rate (ITR) and Manual Influence Rate (MIR). Using the online web sentiment analysis system, the internet topic sentiment on campus network can be discovered immediately. |
| Starting Page | 379 |
| Ending Page | 382 |
| File Size | 203700 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457710858 |
| DOI | 10.1109/ISCID.2011.197 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Context cluster Conferences web sentiment Manuals Data warehouses Internet campus network Monitoring job scheduling |
| Content Type | Text |
| Resource Type | Article |
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