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Handset Short Note Filtration System Design And Realization Based On Client Side

Posted on:2011-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:Z GuoFull Text:PDF
GTID:2178360305491888Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Along with the mobile communication technology development and the handset popular rate enhancement, the handset short note service by its rapid, convenient, the price inexpensive and so on the superiority is becoming the people to live day by day the one kind of important correspondence and the exchange way. Has brought each kind of convenient while the short note service to the user, the massive trash short note also along with it appearance, is puzzles the operation business and a user's major issue. Therefore, we have the necessity to filter these trash short note.At present, trash short note filtration technology mainly has the blacklist to filter, the key word filtration and based on the text classification content filtration. But based on the short note transmit mode, may consider carries on the filtration from two aspects to trash short note, one kind is carries on the filtration in the short news service center to trash short note, another kind is carries on the filtration in the handset terminal to trash short note. But these two methods all have the insufficiency.This article in view of the present short note filtration technology insufficiency, the new technology and the existing technology will unify, will conduct the research and the realization to the handset trash short note filtration system. In order to realizes well to trash short note filtration, this system had considered emphatically in the handset terminal filtration way, through unifies the blacklist technology and the text classification technology, and used Bayes to classify the method to carry on the classified recognition to the short note content, finally realized to trash short note filtration.This article completes the prime task might summarize the main algorithm which the followingPair of short note filtration system involved to conduct the research, the key narration classified the algorithm based on Bayes in the short note filtration application.Basis existing algorithm, has carried on the design and the realization to the short note filtration system. This is the full text key point, in which main achievement and the innovation spot includes:The system which realizes definitely may finally in the J2ME handset develop in the platform to realize, this explained but finally may be separated from the computer all to move in the handset terminal; The consideration handset terminal memory limit, has made the improvement to the local dictionary design, reduced the dictionary volume greatly; Has made the improvement to the dictionary use way, not only enables it to optimize in the volume, also has the enhancement in the match speed;Designed the good man-machine interaction contact surface, the unknown short note filtration and the recognition advancement might develop the platform the backstage to carry on the observation.Gives the short note filtration system the test result, and has carried on the analysis and the appraisal according to these test result to the system.
Keywords/Search Tags:Trash short note, Bayesian classification, blacklist, characteristic vector
PDF Full Text Request
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