Searching for specific words or phrases in a document can be cumbersome if the exact term isn't present. Semantic matching in NLP uses contextual meaning, rather than exact form, to improve search results. By leveraging techniques like word embedding and cosine similarity, it's possible to find similar words or phrases within text documents. Tools like KeyBERT can streamline keyword extraction, further enhancing the search process.
Table of contents
RequirementsProblem DefinitionWhat is Semantic Matching?How to Perform Semantic Matching on a PDF DocumentWrapping UpSort: