compare similarity of two texts

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How to compare the similarity between two texts

To compare the similarity between an article and other articles, you can take the following steps. 1. Definition: how to identify the similarities between the two articles? A) There are several identical words or keywords. B) There are several

Turn: Text similarity algorithm

Text Similarity algorithmSource: http://www.cnblogs.com/liangxiaxu/archive/2012/05/05/2484972.html1. TF-IDF1.1TF of important inventions in information retrievalTerm frequency is the keyword word frequency, refers to an article in the occurrence of

[Conversion] simhash and Hamming distance for similarity calculation of massive data

Through the collection system, we collect a large amount of text data, but there are a lot of duplicate data in the text that affects our analysis of the results. Before analysis, we need to remove duplication of the Data. How can we select and

Calculate document Similarity)

From: http://blog.chinaunix.net/uid-26548237-id-3541783.html 1. vector space model Vector space model, as a vector identifier, is an algebraic model used to represent text files. It is used for information filtering, information retrieval,

1. Text similarity calculation-text vectorization

1. PrefaceIn the process of natural language processing, it often involves how to measure the similarity between two texts, we all know that the text is a high-dimensional semantic space, how to abstract it, so as to be able to stand in the

Simhash algorithm of text similarity degree

To this end we need a large number of data scenarios for the deduplication, after the study found that there is a local sensitive hash locally sensitive hash of things, it is said that this thing can reduce the document to hash numbers, the number 22

Simhash Short Text lookup calculates mass data similarity

The previous example of massive data similarity calculation simhash and Hamming distance we introduced the principle of simhash, we should feel the charm of the algorithm. But as the business grows, so does simhash data, and if the day 100w,10 1000w.

Mining of massive datasets-finding similar items

Document directory 1 applications of near-Neighbor Search 2 shingling of documents 3 similarity-preserving summaries of Sets 4 locality-sensitive Hashing for documents 5 distance measures 6 The Theory of locality-sensitive functions 7 lsh

A bunch of documents extracted from information (provide download links ))

1. Online Information Extraction Technology Overview (click to download)Line eikdevil original (1999.7) translated by Chen hongbiao (2003.3)Information Extraction: IE refers to structured processing of the information contained in the text, which is

News recommendation System: Content-based recommendation algorithm (Recommender system:content-based recommendation)

Because of the development of a news recommendation system module, in the recommendation algorithm this piece involves the content-based recommendation algorithm (content-based recommendation), so take this opportunity, based on their own view of

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