Similarity of 1.Daya general literature:
The similarity of Daya total documents is usually used to evaluate the relevance of documents, that is, to measure the similarity between different documents. This concept is mainly used in literature retrieval, literature recommendation and information retrieval. In Daya's general document similarity, various text mining and natural language processing techniques, such as word bag model, TF-IDF and word embedding, are generally used to calculate the similarity between documents, thus helping researchers find documents related to their research topics.
2. Document similarity:
Generally speaking, document similarity refers to the content similarity between different documents under a specific theme. It is often used in application scenarios such as literature comparison, literature review and domain knowledge analysis. The calculation of document similarity can be based on different standards, such as document content similarity, citation relationship, author relationship and so on. Common calculation methods include cosine similarity, Jaccard similarity, editing distance and so on. These algorithms can help researchers find the contents related to their research topics in a large number of documents, and further analyze and summarize them.
Generally speaking, Daya's total document similarity is used to measure the correlation between different documents, while document similarity is used to evaluate the content similarity between different documents under a specific theme. Their application scenarios and calculation methods are slightly different, but they are all helpful for researchers to find relevant information in a large number of documents.
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