Query expansion method based on multisource positive and negative external feedback information
A technology of external feedback and query expansion, applied in special data processing applications, instruments, network data retrieval, etc., can solve the problems of small scale, increase the risk of query expansion, and cannot well reflect the real query intention of users, so as to reduce The effect of expanding risk and improving performance
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[0040] Such as figure 1 As shown, the embodiment of the present invention provides a query expansion method based on multi-source positive and negative external feedback information, including the following steps:
[0041] Step (1) Get Tweets blog posts
[0042] Obtain Tweets blog post, which consists of two parts: number and text
[0043] Step (2) Obtain user interest words
[0044] The user interest file consists of three parts: number, query word, and interest description, from which the user query word is parsed as the user interest word.
[0045] Step (3) Tweets preprocessing
[0046] Step (3.1) filters non-English Tweets and Tweets that are less than two words in length.
[0047] Step (3.2) removes punctuation marks, numbers, and URLs in Tweets, and converts all letters to lowercase;
[0048] Step (3.3) segment Tweets based on simple spaces and remove stop words. Different word forms in English are regarded as different words, for example, "organ" and "organs" are r...
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