【摘要】：隨著經(jīng)濟的發(fā)展,我們逐漸步入了信息時代�？梢哉f信息無時無刻不在影響著我們的生活,互聯(lián)網(wǎng)更是我們生活各個方面都需要的工具。然而它們在給我們的生活注入新鮮和活力的同時,也帶來了許多負面的東西。這就要求相關部門做好信息監(jiān)測工作,對網(wǎng)絡信息進行嚴格篩選,這樣一來,既保護了互聯(lián)網(wǎng)群眾的隱私,又凈化了網(wǎng)絡環(huán)境,讓人們能做到開心上網(wǎng)。但如何才能做到這點呢?本文根據(jù)網(wǎng)絡監(jiān)測方法的原理,然后通過分析非法網(wǎng)絡信息的特征,結(jié)合移動網(wǎng)絡中增量式信息的分類和統(tǒng)計方法,提出一種基于文本內(nèi)容的混合過濾模型和算法。同時,把信息過濾系統(tǒng)和信息推送技術聯(lián)合起來,進而提高信息過濾的效果以及相應的價值。本文的主要技術路線是依據(jù)對移動網(wǎng)絡中信息安全的分類分析,結(jié)合對基于網(wǎng)絡信息文本內(nèi)容分析的混合過濾模型的研究,提出相應的解決算法,從而實現(xiàn)預先設定的研究目的。對傳統(tǒng)的過濾模型布爾模型、概率推理模型和向量空間模型以及信息過濾方法做了分類比較。在此基礎上開發(fā)出一個以向量空間模型為基礎的移動網(wǎng)絡內(nèi)容過濾系統(tǒng)模型。接著對此過濾系統(tǒng)從系統(tǒng)框架做了原理分析,隨后詳細介紹了中文分詞、特征提取與權(quán)值計算、用戶需求與閾值初始化、過濾匹配和用戶反饋模塊的原理和實現(xiàn)過程。最后生成空間向量模型以及完成過濾算法的設計。以查全率、查準率和正確率為指標通過實驗證明本系統(tǒng)在文本過濾方面有很好的效果。最后簡單介紹了移動網(wǎng)絡的推送技術,并對全文作了總結(jié)和展望。
[Abstract]:With the development of economy, we have gradually stepped into the information age. It can be said that information affects our lives all the time, and the Internet is a tool we need in all aspects of our lives. However, they bring a lot of negative things to our life while infusing them with freshness and vitality. This requires relevant departments to do a good job of information monitoring, the strict screening of network information, which not only protects the privacy of the Internet masses, but also purifies the network environment, so that people can be happy to surf the Internet. But how can this be done? According to the principle of network monitoring method and by analyzing the characteristics of illegal network information and combining the classification and statistics of incremental information in mobile network, a mixed filtering model and algorithm based on text content is proposed in this paper. At the same time, the information filtering system and information push technology are combined to improve the effect and value of information filtering. The main technical route of this paper is based on the classification and analysis of information security in mobile network, combined with the research of hybrid filtering model based on network information text content analysis, the corresponding solution algorithm is put forward. In order to achieve the predefined research purpose. The traditional Boolean model, probabilistic reasoning model, vector space model and information filtering method are classified and compared. On this basis, a mobile network content filtering system model based on vector space model is developed. Then the principle of the filtering system is analyzed from the system framework, and then the principle and implementation process of Chinese word segmentation, feature extraction and weight calculation, user requirement and threshold initialization, filter matching and user feedback module are introduced in detail. Finally, the space vector model is generated and the filtering algorithm is designed. With recall, precision and accuracy as indicators, the system is proved to be effective in text filtering through experiments. Finally, the push technology of mobile network is briefly introduced, and the full text is summarized and prospected.
【學位授予單位】：華東理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN915.08

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本文編號：2384298