System and method for K-nugget discovery and retrofitting framework

A system for facilitating user meta data discovery and retrofitting framework, the system comprising:

• a processor;
• a memory coupled to the processor, wherein the memory comprises processor-executable instructions, which on execution, causes the processor to:
• receive a set of word embeddings;
• compute a similarity score and a dissimilarity score between every pair of word embeddings in the received set of word embeddings;
• determine a margin value for every pair of word embeddings based on the respective similarity score and the respective dissimilarity score;
• discover user meta data lexically for a character-level understanding of words for every pair of word embeddings based on the respectively determined margin value by a dynamic retrofitted embedding approach;
• and
• determine closer synonymous vectors based on the user meta data discovered for each pair of word embeddings, wherein the user meta data is discovered by a stacked embedding approach to solve perplexity of words with respect to surrounding context based on the similarity score and the dissimilarity score.