EMOJI CLASSIFIER

1 . A system, comprising:

a processor configured to:

determine a nearest neighbor image embedding associated with an n-gram, wherein the nearest neighbor image embedding is associated with an image; and

provide in a content feed one or more web documents associated with the n-gram and the image; and

a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions.

2 . The system of claim 1 , wherein the processor is further configured to:

receive a query comprising one or more query terms; and

determine an embedding associated with the one or more query terms.

3 . The system of claim 2 , wherein the one or more query terms corresponds to the n-gram.

4 . The system of claim 3 , wherein the n-gram has an associated embedding.

5 . The system of claim 4 , wherein to determine the nearest neighbor image embedding associated with the n-gram, the processor is further configured to determine a cosine similarity between the embedding associated with the image and the embedding associated with the n-gram.

6 . The system of claim 4 , wherein to determine the nearest neighbor image embedding associated with the n-gram, the processor is further configured to determine a dot product between the embedding associated with the image and the embedding associated with the n-gram.

7 . The system of claim 4 , wherein to determine the nearest neighbor image embedding associated with the n-gram, the processor is further configured to determine a Euclidean distance between the embedding associated with the image and the embedding associated with the n-gram.

8 . The system of claim 1 , wherein the image corresponds to an emoji.

9 . The system of claim 1 , wherein processor is further configured to:

associate the n-gram with the image;

determine an embedding associated with the n-gram; and

assign the embedding associated with the n-gram to the image.

10 . The system of claim 1 , wherein the processor is further configured to:

receive a web document;

determine an entity associated with the web document;

11 . The system of claim 10 , wherein the processor is further configured to associate the determined nearest neighbor image embedding with the entity.

12 . A method, comprising:

determining a nearest neighbor image embedding associated with an n-gram, wherein the nearest neighbor image embedding is associated with an image; and

providing in a content feed one or more web documents associated with the n-gram and the image.

13 . The method of claim 11 , further comprising:

receiving a query comprising one or more query terms; and

determining an embedding associated with the one or more query terms.

14 . The method of claim 11 , wherein the one or more query terms corresponds to an n-gram, wherein the n-gram has an associated embedding.

15 . The method of claim 11 , wherein determining the nearest neighbor image embedding associated with the n-gram includes determining a cosine similarity between the embedding associated with the image and the embedding associated with the n-gram.

16 . The method of claim 11 , wherein the image corresponds to an emoji.

17 . The method of claim 11 , further comprising:

associating an n-gram with the image;

determining an embedding associated with the n-gram; and

assigning the embedding associated with the n-gram to the image.

18 . The method of claim 11 , further comprising:

receiving a web document; and

determining an entity associated with the web document.

19 . The method of claim 18 , further comprising associating the determined nearest neighbor image embedding with the entity.

20 . A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

determining a nearest neighbor image embedding associated with an n-gram, wherein the nearest neighbor image embedding is associated with an image; and

providing in a content feed one or more web documents associated with the n-gram and the image.