Differences
This shows you the differences between two versions of the page.
|
projs:clans:docs:entity_disambiguation_xu:extractkeywords [2014/01/21 09:25] xmill.zod created |
projs:clans:docs:entity_disambiguation_xu:extractkeywords [2014/01/21 09:28] (current) xmill.zod |
||
|---|---|---|---|
| Line 7: | Line 7: | ||
| - A boolean value represents the train process is successful or not | - A boolean value represents the train process is successful or not | ||
| ===== Detail Information ===== | ===== Detail Information ===== | ||
| - | Filtering out the posts in which apear both a person A's name and the related company's stock name. Take the posts that filtered out as a reliable post set that related to person A. Randomely pick out 1000 posts that appears person A's name, take each of them as a document and the reliable post set as a document. Then calculate the TF-IDF(term frequency - inverse document frequency) for each notational word in the document of reliable post set. Set their weights as the TF-IDF and sort them in desending order. Take the top 10 of them as filtering keywords for person A. | + | * Unordered List ItemFiltering out the posts in which apear both a person A's name and the related company's stock name. |
| + | * Take the posts that filtered out as a reliable post set that related to person A. Randomely pick out 1000 posts that appears person A's name, take each of them as a document and the reliable post set as a document. | ||
| + | * Then calculate the TF-IDF(term frequency - inverse document frequency) for each notational word in the document of reliable post set. Set their weights as the TF-IDF and sort them in desending order. | ||
| + | * Take the top 10 of them as filtering keywords for person A. | ||
