Microblog-oriented emotion entity searching system

Abstract

The invention relates to a microblog-oriented emotion entity searching system. The emotion entity searching system comprises a user interface (1), a query expansion module (2), a query processing module (3), an emotive information mining module (4), an emotive information judging and index building module (5) and a reverse index building module (6). The user interface (1) is used for interaction between a user and the system, and the user can submit a query request through the user interface and obtain a feedback result; the query expansion module (2) is used for carrying out word relation mining on microblog corpus data and building a weighting word relation graph in combination with a WordNet ontology base; the query processing module (3) is used for converting the query request of the user into query key words or query statements and for carrying out query expansion on the basis of the word relation graph built by the query expansion module (2), wherein the query key words or the query statements can be accepted by an index base; the emotive information mining module (4) is used for performing emotion mining on the microblog corpus base and generating a judging rule for emotion entities and emotion polarities; the emotive information judging and index building module (5) is used for judging the emotion entities and emotion polarities, building an emotive information index and storing the emotive information index; the reverse index building module (6) is used for building a reverse index for microblog text information and storing the reverse index. The microblog-oriented emotion entity searching system solves the problems that difficulty exists in microblog emotion entity extraction, emotion polarity analysis, emotion entity search and the like, and a novel intelligent searching product is provided for analyzing and monitoring social networking public opinions.

Description

technical field [0001] The invention relates to the fields of text emotion mining and information retrieval, in particular to a microblog-oriented emotional entity search system, which belongs to the innovative technology of the microblog-oriented emotional entity search system. Background technique [0002] In recent years, with the development of the Internet and social networks, social network data including Weibo is rapidly increasing exponentially. The continuous growth of microblogs makes people search more and more abundant information, but the huge amount of microblog data also makes it difficult for people to quickly and accurately find the information they need. At the same time, due to the freedom of microblog writing, it is more difficult to extract emotional information than traditional texts. In the field of microblog emotional information retrieval, which is of great significance to the public opinion monitoring and product research industries, there is no mat...

AI Technical Summary

Problems solved by technology

The recognition effect of this method is not very ideal, and there are several shortcomings as follows: (1) The extraction process relies too much on the sentiment lexicon and several specific syntactic dependencies. And it is greatly affected by domain knowledge, so there will be many misjudgments; on the other hand, due to the particularity of microblog text expression, emotional words and emotional objects are not necessarily limited to specific dependencies; (2) In Weibo, often some emotional words and their emotional objects do not directly appear in pairs in the text, only emotional words express emotional tendencies, and emotional objects do not appear explicitly in sentences, then the extraction process cannot extract out some sentimental objects that do not appear directly in the sentence text

[0022] The existing sentiment analysis technology based on emotional words mainly has the following three deficiencies: A) The extraction of emotional phrases does not consider the modification of adverbs, but in general, adverbs will have a limiting effect on emotional words such as adjectives

If it is not considered, it is easy to cause emotional intensity deviation; B) the identification and processing of negative words, the general method is to adopt a search strategy to find negative words, it is difficult to determine the object of negation; C) some based on automatic generation The emotional word strength dictionary is not reliable, because the emotional word strength is the basic attribute of the emotional word, mainly determined by its original meaning

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