Grading method for information retrieval document based on viewpoint searching
An information retrieval and document technology, applied in the field of information processing, can solve problems such as poor performance and inability to well meet the needs of users' viewpoint retrieval, and achieve the effect of improving performance, good application prospects, and improving viewpoint retrieval results
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[0040] It is done automatically on the computer and consists of the following steps in sequence:
[0041] Step 1 Generate sentiment word list and candidate document collection
[0042] The emotional word list includes all emotional words to be processed by the system, such as "good", "bad" and "disappointing" in Chinese, and "good" and "bad" in English. Here, the words in HowNet are automatically screened according to their attributes. If the attribute definitions of a word in HowNet include at least "good|好", "desire|良", "beautiful|美", "great|伟 ", "bad|bad", "undesired|草", "fake|假", select the word and the English descriptor corresponding to the word, and add them to the list of Chinese and English emotional words respectively.
[0043] For a query (which may contain multiple query words) input by the user, the retrieval system automatically selects all documents with any query word in the user query as a set of candidate documents. Subsequent operations will be performed wi...
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