The Evaluation Of Academic Book Based On Web Data

Academic Book is a very important carrier for knowledge and academic information, it’s also significantly important for academic research, so the evaluation of academic books are essential to the academic refecence, author evaluation and knowledge inheritage. Right now, the main tactics adopted in academic book evalutions involves both qualitative and quantitative methods. As for the qualitative evaluation, peer review is the most popular way, for quantitative evaluation of academic book, now the related research always use some index:citations, impact factor to evaluate etc. But unlike the academic paper, book has some different features.On the other hand, there are many data in Internet. In the past, restrained by the unfeasibility of data gaining, we had to carry out evaluation based on little data, but now, with the coming of big data era, we have been largely liberated from the data source and imformation techniques, that means we should also break through in research logics. The countless data in internet is very useful for book evaluation. This study will use internet data to evaluate the academic book.The main content of this research are:Chapter one, introduction. This chapter describes the background, significance of this research, the content and innovative points of the paper.Chapter two, literature review. This chapter firstly concluded the research fruits of indexes applied in academic book evaluation, demonstrating the principles in index designing and the content of each index in detail. Then, this chapter also made a conclusion of the current evaluation methods.Chapter three, data source for academic book evaluation. A batch of index based on Google Scholar are proposed, use the correlation analysis to verify the similarity. Chapter four, academic book evaluation based on Google Scholar citation data. Search engine is the greatest flow entrance, A batch of index based on search engine log are proposed, use the correlation analysis to verify the similarity.Chapter five, academic book evaluation based on Search Engine Log. Use the opinion mining to analysis the comment of academic book in internet, a new classifier-based and dictionary-based opinion mining algorithm is proposed.Chapter six, academic book evaluation based on emotion analysis. This chapter decribes the technique based emotional mining applied in academic book evaluation. And then put forward an index which can be used to evaluate book, and then verified as reasonable.Chpter seven, in this chapter A automatic book evaluation system architecture is proposed, which can help automatively select and evaluate academic book.At last, a whole conclusion are made, some point needed to be promoted are also put forward.