type_gstemmer.html

来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 25 行

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<html><head><title>Generated Documentation</title></head><body>	<image src="headerimage.png">	<br><br><table><tr><td><big><big><big style="font-family: arial;"><b>GStemmer</b></big></big></big><br><br></td><td> This class just wraps the Porter Stemmer. It finds the stems of words.  Examples: "cats"->"cat" "dogs"->"dog" "fries"->"fri" "fishes"->"fish" "pies"->"pi" "lovingly"->"lovingli" "candy"->"candi" "babies"->"babi" "bus"->"bu" "busses"->"buss" "women"->"women" "hasty"->"hasti" "hastily"->"hastili" "fly"->"fly" "kisses"->"kiss" "goes"->"goe" "brought"->"brought" As you can see the stems aren't always real words, but that's okay as long as it produces the same stem for words that have the same etymological roots. Even then it still isn't perfect (notice it got "bus" wrong), but it should still improve analysis somewhat in many cases.</td></tr></table><br><br><big><big><i>Constructors (public)</i></big></big><br><div style="margin-left: 40px;"><big><b>GStemmer</b></big>()<br></div><br><big><big><i>Destructors</i></big></big><br><div style="margin-left: 40px;"><big><b>~GStemmer</b></big>()<br></div><br><big><big><i>Public</i></big></big><br><div style="margin-left: 40px;">char* <big><b>GetStem</b></big>(const char* szWord, int nLen)<br><div style="margin-left: 80px;"><font color=brown> Pass in a word (you don't need to lowercase or null-terminate it) and this will return its stem. The buffer it returns is only valid until the next time you call GetStem.</font></div><br></div><br></body></html>

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