How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event det...How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event detection system, based on sorted subtopic matching algorithm and constructs the entire design framework. In this p^per, the subtopics contained in old topics （or news stories） are sorted in descending order according to their importance to the topic（or news stories）, and form a sorted subtopic sequence. In the process of subtopic matching, subtopic scoring matrix is used to determine whether a new story is reporting a new event. Experimental results show that the sorted subtopic matching model improved the accuracy and effectiveness ofthenew event detection system in cyberspace.展开更多
The aims were： （1） to study verbal communication skills presenting with verbal communication deficits by applying the MEC in HIV-1 patients, and （2） to analyze the proportion of patients Protocol. The authors eva...The aims were： （1） to study verbal communication skills presenting with verbal communication deficits by applying the MEC in HIV-1 patients, and （2） to analyze the proportion of patients Protocol. The authors evaluated 20 patients over 18 years of age HIV-1 positive; native speakers of Spanish; without alterations in language acquisition, reading, writing or history of neurological or psychiatric disease; patients undergoing antiretroviral treatment （not efavirenz） with viral load 〉 50 copies/mL, and patients not undergoing treatment. Their verbal communication abilities were evaluated with Protocol MEC. The results demonstrate that some of the skills evaluated are more vulnerable in HIV-1 patients. The tasks that showed the most frequent and systematic deficits among patients were discourse-level tasks and those that evaluate lexical semantic processing. The authors compared patients＇ performances with the ＂cut-off＇. The scores were turned into score Z. A hierarchic cluster analysis was carried out to identify subgroups with different profiles according to the areas that were affected. The detection of communication deficit profiles in HIV-1 patients would be the starting point for the identification of disorders and the admission of the patients to health care system. This research constitutes an initial approach towards the identification of clinical profiles among HIV-1 patients.展开更多
基金Funded by the Planning Project of National Language Committee in the "12th 5-year Plan"(No.YB125-49)the Foundation for Key Program of Ministry of Education,China(No.212167)the Fundamental Research Funds for the Central Universities(No.SWJTU12CX096)
文摘How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event detection system, based on sorted subtopic matching algorithm and constructs the entire design framework. In this p^per, the subtopics contained in old topics （or news stories） are sorted in descending order according to their importance to the topic（or news stories）, and form a sorted subtopic sequence. In the process of subtopic matching, subtopic scoring matrix is used to determine whether a new story is reporting a new event. Experimental results show that the sorted subtopic matching model improved the accuracy and effectiveness ofthenew event detection system in cyberspace.
文摘The aims were： （1） to study verbal communication skills presenting with verbal communication deficits by applying the MEC in HIV-1 patients, and （2） to analyze the proportion of patients Protocol. The authors evaluated 20 patients over 18 years of age HIV-1 positive; native speakers of Spanish; without alterations in language acquisition, reading, writing or history of neurological or psychiatric disease; patients undergoing antiretroviral treatment （not efavirenz） with viral load 〉 50 copies/mL, and patients not undergoing treatment. Their verbal communication abilities were evaluated with Protocol MEC. The results demonstrate that some of the skills evaluated are more vulnerable in HIV-1 patients. The tasks that showed the most frequent and systematic deficits among patients were discourse-level tasks and those that evaluate lexical semantic processing. The authors compared patients＇ performances with the ＂cut-off＇. The scores were turned into score Z. A hierarchic cluster analysis was carried out to identify subgroups with different profiles according to the areas that were affected. The detection of communication deficit profiles in HIV-1 patients would be the starting point for the identification of disorders and the admission of the patients to health care system. This research constitutes an initial approach towards the identification of clinical profiles among HIV-1 patients.
