Text mining is a text data analysis,found that the relationship between concepts and underlying concepts from unstructured text,it is extracted from large text database has not yet been realized patterns or associatio...Text mining is a text data analysis,found that the relationship between concepts and underlying concepts from unstructured text,it is extracted from large text database has not yet been realized patterns or associations,some information retrieval and text processing system can find the relationship between words and paragraphs.This article first describes the data sources and a brief introduction to the related platforms and functional components.Secondly,it explains the Chinese word segmentation and the Korean word segmentation system.At last,it takes the news,documents and materials of the Korean Peninsula as well as the various public opinion data on the network as the basic data for the research.The examples of word frequency graph and word cloud graph is carried out to show the results of text mining through Chinese word segmentation system and Korean word segmentation system.展开更多
With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is ...With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is why how to deal with these texts and analysis the emotional information is significant for us.We get three main tasks of sentiment analysis,including sentiment extraction,sentiment classification,sentiment application and summarization.In this paper,based on the R software,we introduced the steps of sentiment analysis in detail.Finally,we collect the movie reviews from the Internet,and use R software to do sentiment analysis in order to judge the emotional tendency of the text.展开更多
文摘Text mining is a text data analysis,found that the relationship between concepts and underlying concepts from unstructured text,it is extracted from large text database has not yet been realized patterns or associations,some information retrieval and text processing system can find the relationship between words and paragraphs.This article first describes the data sources and a brief introduction to the related platforms and functional components.Secondly,it explains the Chinese word segmentation and the Korean word segmentation system.At last,it takes the news,documents and materials of the Korean Peninsula as well as the various public opinion data on the network as the basic data for the research.The examples of word frequency graph and word cloud graph is carried out to show the results of text mining through Chinese word segmentation system and Korean word segmentation system.
文摘With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is why how to deal with these texts and analysis the emotional information is significant for us.We get three main tasks of sentiment analysis,including sentiment extraction,sentiment classification,sentiment application and summarization.In this paper,based on the R software,we introduced the steps of sentiment analysis in detail.Finally,we collect the movie reviews from the Internet,and use R software to do sentiment analysis in order to judge the emotional tendency of the text.
