37 results about "Web forum" patented technology

Methods and systems for auto-generating threads on web forums are described. Comments are received on web content contained on a web page within a web site, where the web site further includes a web forum. The comments can be monitored to determine if a comment threshold is reached, and a web content thread can be auto-generated in the web forum when the comment threshold is reached.

The invention relates to a method for pre-enrolling examinees on the Internet, which belongs to applications of networks and network instant communication technology on enrollment. The invention enables the enrollment to be open, fair, equality impartial, interactive and fast, and prevents high mark students from failing to enter a college and speculation of low mark students. The method comprises the following steps: each examinee registers a nickname with true information, such as marks; by taking the college entrance examination as the example, colleges and universities are decomposed in technical ways, and the undetachable planned detail enrollment is directly used as the enrollment unit for each major; the examinees submit applications by getting on the Internet, directly dialing the telephone or sending short messages; the enrollment organizations simultaneously start the enrollment, and the examinees simultaneously submit applications for enrollment; the authority does not set isolating enrollment marks, and if the lowest criterion of examination is set, the enrollment mark is only for reference; on the basis of security analysis technology, a segmenting table is created for instantly analyzing pre-enrollment, selecting colleges and reflecting pre-enrollment progress; and Web forum systems, Tencent QQ group chat systems and on-line security immediate transaction systems can be improved and integrated into an on-line pre-enrollment system.

The invention discloses a network public feelings collecting method; hot words are extracted from a network forum, related information documents are extracted according to the hot words to form a hot event document set which is related to the hot words; the key sentences in the hot event document set are clustered to obtain a plurality of view topic sentence sets on one hot event; then a feelingsword stock with different types is established, feelings marking is carried out on the feelings words of the key sentence in the view topic sentence set; the feelings tendency value of each key sentence is calculated according to the feelings marking; the feelings tendency value of each netizen on the view topic is calculated according to netizen ID mark of the key sentence to obtain the network public feelings about some hot event, thus achieving the collection of the network public feelings. The invention not only can effectively find the public feelings information in the network, but alsocan timely and accurately extract netizen view points aiming at concrete public feelings, and makes up the defect that the previous public feelings system can only find the public feelings information, but the view can not be analyzed.

The invention provides a method for analyzing an opinion leader in a network forum. The method comprises the following steps of: computing the influence between any two post persons by comparing to generate a conversation link-based stepped computing time with a stepped evaluation method; computing the influence of any post person in a conversation link in the entire conversation link; computing an evaluation index of a plurality of conversation links in a topic and the overall influence of a post person I; counting attribute characters, i.e., the popularity rating of a post, the number of posts, the quantity of relies and online histories based on participants; portraying statistical data of basis behaviors of netizens in a forum; and comprehensively computing an opinion leader value. The analysis of a network opinion leader is performed in a specific block of the network forum and is limited in a certain topic or field, evaluation is performed on the aspects of the counted attribute characters of the netizens and the posting language materials of the netizens in the topic or field, the score of each netizen is computed according to a reasonable weight, and a person with the highest score is the opinion leader in the topic or field.