| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 98 === As the popularity of Internet, more and more people get used to sharing the episodes of their lives on their own blogs. During the course of writing, people may stop at some points and spend a lot of time thinking the next sentence. In addition, people tend to use some text segments that have been appeared in other articles. Based on the above observations, we propose and implement a computer-aided system for blog article writing. The system will assist users to compose articles, especially when they struggle to find something to write.
Currently, the Web can be regarded as a big database and it contains a variety of blog articles. We collected a huge amount of blog articles and these articles will be employed as system corpus. The system adopts a handwriting pad as input interface. When the user is writing, the system will automatically analyze current input sentence and extract important words to generate a keyword list. Then, it will use the keyword list to compose a query string to obtain blog artilces from the Internet. Finally, our system will give some advices about sentences or outlines that users can depict in the next sentence. Our experimental results show the system can assist people to compose blog articles efficiently and they can save about 20% of time during the course of writing.
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