科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
4期
80-82
,共3页
数据挖掘%微博%热门话题预测%聚类性
數據挖掘%微博%熱門話題預測%聚類性
수거알굴%미박%열문화제예측%취류성
data mining%micro blogging%hot topic prediction%clustering ability
提出一种基于数据挖掘的微博热门话题预测方法，在对微博词汇进行基于词频的热门分类基础上，通过热点发现、特征提取、发现学术领袖、热点追踪、关注学术领袖和热点分析6个阶段对预测进行分析和处理。通过统计的方法实现热门预测结果输出。采用一组网络词汇进行实际的热门预测仿真分析，结果显示，基于数据挖掘的微博热门话题预测方法能够更好的实现微博热门话题的预测，预测结果聚类特性优于传统预测方法，算法收敛特性好，具有很好的预测使用价值。
提齣一種基于數據挖掘的微博熱門話題預測方法，在對微博詞彙進行基于詞頻的熱門分類基礎上，通過熱點髮現、特徵提取、髮現學術領袖、熱點追蹤、關註學術領袖和熱點分析6箇階段對預測進行分析和處理。通過統計的方法實現熱門預測結果輸齣。採用一組網絡詞彙進行實際的熱門預測倣真分析，結果顯示，基于數據挖掘的微博熱門話題預測方法能夠更好的實現微博熱門話題的預測，預測結果聚類特性優于傳統預測方法，算法收斂特性好，具有很好的預測使用價值。
제출일충기우수거알굴적미박열문화제예측방법，재대미박사회진행기우사빈적열문분류기출상，통과열점발현、특정제취、발현학술령수、열점추종、관주학술령수화열점분석6개계단대예측진행분석화처리。통과통계적방법실현열문예측결과수출。채용일조망락사회진행실제적열문예측방진분석，결과현시，기우수거알굴적미박열문화제예측방법능구경호적실현미박열문화제적예측，예측결과취류특성우우전통예측방법，산법수렴특성호，구유흔호적예측사용개치。
A hot topic prediction method of micro blogging based on data mining was proposed, the word frequency was used to classify the types firstly. Then the hotspot, feature extraction, academic leaders found, hot track, academic leaders concern and hotspot analysis were all considered to achieve analysis and processing, finally, the result was output through statistical. A serious of network vocabulary was used to test the ability between the improved algorithm and traditional algo-rithm, the result shows that the algorithm of hot topic prediction with micro blogging based on data mining has a better clus-tering ability, the convergence of algorithm is good and it has a good value for application.
