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The boom of opinion-rich resources such as online review Websites, discussion groups, personal blogs and forums on the Web has attracted many research efforts on opinion mining. Positive and negative opinions represented in review documents are helpful information for governments to improve their services, for companies to market their products, and for customers to purchase their commodities. In...
The information on the Web is growing dramatically. Without a recommendation system, the users may spend lots of time on the Web in finding the information they are interested in. Today, many Web recommendation systems can not give users enough personalized help but provide the user with lots of irrelevant information. One of the main reasons is that it can't accurately extract user's interests. Therefore,...
Traditional topic extraction methods only take text document into account and ignore user's contribution in the process of extraction. But it occurs to us that the browsing status of users in one topic plays a more important role in indicating whether this topic is currently hot than the properties of text document. So in this paper, we bring forward a method of extracting ??Chinese hot topic?? from...
Web pages usually contain various contents, which are relevant or irrelevant with the main topic. We define relevant contents as informative content blocks, whereas irrelevant contents as clutters. Clutters intend to mislead search engines, or trigger an artificially high link-based ranking for specific target pages. So cleaning Web pages before mining becomes critical for improving performance of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.