Post by account_disabled on Feb 27, 2024 4:53:14 GMT -5
The more reliable method for grouping variations than stemming. Limitations As with many of the methods context for mapping related terms can be difficult. Lemmatization can provide better filters for context but to do so generally relies on identifying the word form noun adjective etc to appropriately map to a root term. Given the inconsistency of the usergenerated content it is inaccurate to assume all words are in adjective form describing a product or noun form the product itself. This inconsistency can present wild results.
For example strip socks could be intended as as a tag for Kazakhstan Phone Number socks with a strip of color on them such as as striped socks or it could be stripper socks or some other leggings that would be a match only found if there other products and tags to compare for context. Additionally it doesnt create associations between all related words just textual derivatives so you are still seeking out a canonical between mailman courier shipper etc. Jaccard index Method The Jaccard index is a similarity coefficient measured by Intersection over Union.
Now dont run off just yet it is actually quite straightforward. Imagine you had two piles with marbles in each Red Green and Blue in the first Red Green and Yellow in the second. The Intersection of these two piles would be Red and Green since both piles have those two colors. The Union would be Red Green Blue and Yellow since that is the complete list of all the colors. The Jaccard index would be Red and and Yellow. Thus the Jaccard index of these two piles would be .. The higher the Jaccard index the more similar the two sets. So what does this have to do with tags Well imagine we have two tags ocean and sea. We can get a list of all of the products that have the tag ocean and sea. Finally we get.
For example strip socks could be intended as as a tag for Kazakhstan Phone Number socks with a strip of color on them such as as striped socks or it could be stripper socks or some other leggings that would be a match only found if there other products and tags to compare for context. Additionally it doesnt create associations between all related words just textual derivatives so you are still seeking out a canonical between mailman courier shipper etc. Jaccard index Method The Jaccard index is a similarity coefficient measured by Intersection over Union.
Now dont run off just yet it is actually quite straightforward. Imagine you had two piles with marbles in each Red Green and Blue in the first Red Green and Yellow in the second. The Intersection of these two piles would be Red and Green since both piles have those two colors. The Union would be Red Green Blue and Yellow since that is the complete list of all the colors. The Jaccard index would be Red and and Yellow. Thus the Jaccard index of these two piles would be .. The higher the Jaccard index the more similar the two sets. So what does this have to do with tags Well imagine we have two tags ocean and sea. We can get a list of all of the products that have the tag ocean and sea. Finally we get.