| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 103 === More and more people share their discussions on the Internet due to the spreading of internet and mobile devices. There is always much valuable information among the discussions. And if we can collect the information effectively, it will help researchers to make more efficient decisions. Developing Opinion Mining System can resolve this problem more efficiently for collecting and analyzing data by people consume too much human resources and time.
We can divide Opinion Mining System into three parts: researching the data on the Internet, analyzing and reporting statistics. And we encounter some problems in designing the system:1. The server on the Internet might decline to provide services while sending too many requests in the process of researching the data. 2. It’s a big challenge to establish a full word database for there are new words and phrases pop up all the time on the Internet. 3. There are specific sentiment words in each domain and all of them have to be processed. 4. There is limitation for the word database of each domain. Therefore, it’s necessary to find useful words and reduce the amount of words to raise the efficiency. 5. The results of analyses should fit for normal sentence usages. Therefore, it’s necessary to consider the context dependent among words to enhance the readability of the results. 6. People who reply on the Internet usually omit the words in their posting because the topics for discussions are always clear. Therefore, the opinions are hard to collect.
Our research focuses on the above-mentioned problems for further discussions and providing ways of solution, and also implements a Chinese Opinion Mining System for a single domain.
|
|---|
