Post by account_disabled on Nov 29, 2023 5:57:10 GMT -5
Natural Language Processing Fortunately, there are many different ones now available for understanding natural language processing: There is a: Is there actually a natural language processing that is as complex as what they are using on their own stuff? Probably not. But you can test it. Enter a piece of content and see what entities can be extracted from it and how important each entity is considered to be for the entire piece of content. Besides, to what extent is this content about this thing? So this natural language processing (which you can try for free), if you want to build a tool with it, is actually not expensive for , it assigns each entity a significant score that can be extracted to represent.
How sure are we that this piece of content is about this thing, as opposed to just Phone Number List containing it? So the higher or closer, the more confident the tool is that the piece of content is about this thing. Really, really good. Meaning it's there, but they're not sure how relevant it is. A good example of how saliency and entities work I have an example here, this is not taken from real content these numbers are made is is just an example If you have a chocolate chip cookie recipe, you will want chocolate chip cookies Cookies or chocolate chip cookie recipes, chocolate chip cookies, things like that are the first entity, the most salient entity, and you would want it to have a pretty high salience score.
You’ll want the tool to feel very confident, and yes, that’s what this piece of content is about. But it's extracting and how important they are to the topic. So you can see something like, if you had a chocolate chip cookie recipe, you would expect to see things like cookies, butter, sugar, , which is the temperature at which you heat the oven, all the different things that come together to form a cookie.
How sure are we that this piece of content is about this thing, as opposed to just Phone Number List containing it? So the higher or closer, the more confident the tool is that the piece of content is about this thing. Really, really good. Meaning it's there, but they're not sure how relevant it is. A good example of how saliency and entities work I have an example here, this is not taken from real content these numbers are made is is just an example If you have a chocolate chip cookie recipe, you will want chocolate chip cookies Cookies or chocolate chip cookie recipes, chocolate chip cookies, things like that are the first entity, the most salient entity, and you would want it to have a pretty high salience score.
You’ll want the tool to feel very confident, and yes, that’s what this piece of content is about. But it's extracting and how important they are to the topic. So you can see something like, if you had a chocolate chip cookie recipe, you would expect to see things like cookies, butter, sugar, , which is the temperature at which you heat the oven, all the different things that come together to form a cookie.