Figure 2 - uploaded by Subek Sharma
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Calculation of hash value with respect to three planes 3. Hashing: Based on the calculated position, the data points are then hashed into buckets. Typically, a hash function is used to map the position to a hash code or bucket. Data points with similar positions or on the same side of the plane are more likely to be mapped to the same or nearby buckets. We can use multiple planes to get a single hash value. Let's take a look at the following example:
Source publication
Locality Sensitive Hashing (LSH) is a powerful technique utilized in Natural Language Processing (NLP) for grouping similar words based on their word embeddings. This paper provides an overview of LSH and its application in NLP tasks, focusing on the organization of similar words in translation tasks. Traditional hashing techniques often fail to gu...
