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Text extraction is a crucial stage of analyzing Journal papers. Journal papers generally are in PDF format which is semi structured data. Journal papers are presented into different sections like Introduction, Methodology, Experimental setup, Result and analysis etc. so that it is easy to access information from any section as per the reader's interest. The main importance on section extraction is...
Information extraction (IE) and knowledge discovery in databases (KDD) are both useful approaches for discovering information in textual corpora, but they have some deficiencies. Information extraction can identify relevant sub-sequences of text, but is usually unaware of emerging, previously unknown knowledge and regularities in a text and thus cannot form new facts or new hypotheses. Complementary...
With the development of e-business, interactions between enterprise and customer have gone into a new phase which network technology is the core competitiveness. Network customer reviews as an important part of network reputation influent consumers ' purchasing decisions, and bring enterprise digital feedback. This paper studied the theoretical framework which based on products feature mining issues...
We propose an incremental classifier learning framework that starts with a small amount of labeled training data to create an initial set of classifiers, and gradually incorporates unlabeled data into the incremental learning process to improve the models. A key to the effectiveness of the proposed framework is to judicially select a good incremental learning subset from all remaining unlabeled samples...
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