Research On Television And Radio Text Classification Based On Triple Play

Triple play has gradually become a major trend of the development of IT. The rout oftransmission of text will be richer, the time of transmission of text will be shorter and therange of transmission of text will be wider. This will bring a series of problems: a largenumber of pornographic, violent, bloody, reactionary, superstitious information will spreadmore widely and more quickly, bring a greater harm; rampant piracy, intellectual property isdifficult to be protected; flooded with spam. Therefore, a strong content regulation systemfor the entire network is necessary to shield bad information, filter spam, fight against piracyand purify the Internet environment, ensure the whole network is under the protection.With the rapid revolution and increasing of the text information, the regulation of thetext information become more and more important based on the triple play background.The text content regulation system is a subsystem of the content regulation system andtake the responsibility of supervising all text information in the network. Text contentregulatory system will classify, recognize and handle the text automatic through analysisof the content of the text information in the network. Facing to the huge text information,text classification is necessary to ensure the system can run efficiently. text classificationcan be used to shield bad information, filter spam and fight against piracy. The efficiencyof the text classification will directly impact on the efficiency of the content regulationsystem, therefore, improve the text classification algorithm is the main point.Feature weight calculation algorithm and classification model is the key factoraffecting the text classification. Improve feature weighting algorithm to make the featureitems of the text that can represent the category better to get a higher weight value;improve classification model, so that the time of the classification can be reducedsignificantly. It is proved that the improved algorithm is more accurate and faster and it ismore suitable for text content regulation system.