Loading...
Please wait, while we are loading the content...
Similar Documents
Lexicon combining association rules and improved tf*idf.
| Content Provider | CiteSeerX |
|---|---|
| Author | Xu-Simon, Shouning Qu |
| Abstract | Abstract:To improve the efficiency and accuracy of topic words extraction in information extraction and topic words classification, a new topic lexicon building method is gradually updated and finally formed by combining association rules and improved TF*IDF algorithm. The improved TF*IDF algorithm considers the affection of text length, feature item length, feature item location and identification of compound words on the topic extraction. Experiments show that the proposed method can greatly improve the efficiency and accuracy of topic words extraction, and make information extraction and text classification more effectively. Index Terms—domain lexicon, word segmentation, statistic the frequency of the word, weight, association rule I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Lexicon Combining Association Rule Improved Tf Idf Information Extraction Association Rule Topic Word Extraction Index Term Feature Item Length Topic Word Classification Improved Tf Idf Algorithm Topic Extraction Compound Word New Topic Lexicon Building Method Text Classification Feature Item Location Text Length Tf Idf Algorithm Word Segmentation |
| Content Type | Text |
