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In the management of the online public opinion and Internet intelligent information, people need to obtain the content of the forum threads for further research on the topic emotion and the dissemination of forum topics. This paper presents a method based on templates to extract web forum contents. Proposed method overcomes the problem which caused by the change of the web pages structures and contents,...
Analysis the positive and negative sentiments about each topic of the product are very useful to the customers and manufacturers. In this paper we propose a new topic sentiment mixture model which we call Semi-supervised Co-LDA model to obtain the positive and negative opinions from the reviews about each product. The Semi-supervised Co-LDA can model the topic and sentiment of the product reviews...
Text clustering is a hot and essential topic in data mining and information retrieval. This paper proposed a KP-FCM clustering method, which used the key phrases as text features and applied the Fuzzy c-means (FCM) as clustering algorithm. In this method, key phrases were extracted by an algorithm based on suffix array. Experimental results on two standard text clustering benchmark corpuses, OHSUMED...
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfactory result due to problems such as huge number of result Web pages, unintuitive ranking, etc. Therefore, the reorganization and post-processing of Web search results have been extensively studied to help user effectively...
To enrich the viewing experience of baseball games and provide some clues for enhancing pitcher's performance, we propose a Kalman filter-based approach to track ball trajectory from single-view pitching sequences. Without setting extraordinary equipments in stadiums or other sensing instruments, this approach robustly extracts ball trajectory for pitching sequences captured from TV channels or downloaded...
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