[3Xin4-17] Development of Information Extraction Framework for Tender Documents
Keywords:Text Analytics, User Support System
We often take a long time to understand tender documents because it often requires specialized knowledge to understand these documents and these documents often have a large number of pages.
Even though the market size of the tender business is large, a method for solving the above problem has not been established.
To solve this issue, we develop a novel web application system called BiDding Document Analyzer (BDAA).
Our BDAA first extracts important parts, words and phrases from tender document using natural language processing technique and then highlights them in a user-friendly manner. Finally, our BDAA drafts the summarization of the document.
Experimental evaluation demonstrates that
our BDAA helps us read and summarize a tender document in a short time.
Even though the market size of the tender business is large, a method for solving the above problem has not been established.
To solve this issue, we develop a novel web application system called BiDding Document Analyzer (BDAA).
Our BDAA first extracts important parts, words and phrases from tender document using natural language processing technique and then highlights them in a user-friendly manner. Finally, our BDAA drafts the summarization of the document.
Experimental evaluation demonstrates that
our BDAA helps us read and summarize a tender document in a short time.
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