Information mining method and apparatus, and apparatus used for information mining
An information mining and preset technology, which is applied in the field of Internet information, can solve problems such as the inability to timely mine new entities or the latest attributes of entities, and achieve the effects of improving timeliness and reducing computational complexity
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Embodiment 1
[0058] refer to figure 1 , which shows a flow chart of the steps of Embodiment 1 of an information mining method of the present invention, which may specifically include the following steps:
[0059] Step 101, obtaining the target sentence containing the preset predicate from the webpage text corpus;
[0060] Step 102, extracting a subject and an object from the syntactic analysis result corresponding to the target sentence;
[0061] Step 103: Create an entity-attribute pair based on the extracted subject and object, and save the entity-attribute pair.
[0062] In the embodiment of the present invention, the webpage text corpus may be composed of webpage text, which may be used to represent the natural language text included in the webpage, and the webpage text may be derived from unstructured data or semi-structured data included in the webpage. Optionally, the webpage text may include: body text of the webpage. In addition, the preset webpage categories to which the webpa...
Embodiment 2
[0078] refer to figure 2 , which shows a flow chart of the steps of Embodiment 2 of an information mining method of the present invention, which may specifically include the following steps:
[0079] Step 201, obtaining the target sentence containing the preset predicate from the webpage text corpus;
[0080] Step 202, extracting a subject and an object from the syntactic analysis result corresponding to the target sentence;
[0081] Step 203: Establish entity-attribute pairs according to the extracted subject and object;
[0082] Step 204, determine the first degree of confidence corresponding to the entity-attribute pair;
[0083] Step 205, if the first confidence exceeds the first confidence threshold, save the entity-attribute pair.
[0084] compared to figure 1 In the first embodiment of the method shown, in this embodiment of the present invention, before saving the entity-attribute pair, the first confidence level corresponding to the entity-attribute pair can be d...
Embodiment 3
[0108] refer to image 3 , which shows a flow chart of the steps of Embodiment 3 of an information mining method of the present invention, which may specifically include the following steps:
[0109] Step 301, acquiring multiple attributes corresponding to the entity;
[0110] Step 302. Obtain key attributes that are directional to the entity from multiple attributes corresponding to the entity;
[0111] Step 303: Establish entity-key attribute pairs according to the entity and the key attributes, and save the entity-key attribute pairs.
[0112] In practical applications, there are various attributes corresponding to an entity. For an entity, the attribute obtained from the website is only its auxiliary information, so this attribute may not be able to meet the needs of users well.
[0113] In this embodiment of the present invention, key attributes that are directional to the entity can be obtained from multiple attributes corresponding to the entity, and an entity-key att...
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