An Emotional Entity Search System for Weibo

Abstract

The present invention relates to a microblog-oriented emotional entity search system. The system comprises the following five modules: 1) a user interface used for the interaction between a system and a user, so that the user can submit a query request via the module and obtain a feedback result; 2) a query expansion module used for conducting word relationship mining on microblog corpus data and establishing a weighted word relationship diagram in combination with a WordNet ontology base; 3) a query processing module used for converting a query request of a user into a query key word and a query sentence which can be accepted by an index database and conducting query expansion based on the word relationship diagram constructed by module 2); 4) an emotional information mining module used for conducting emotional mining on a microblog corpus and generating a determination rule for an emotional entity and an emotional polarity; 5) an emotional information decision and index establishment module used for determining the emotional entity and emotional polarity of microblog data, establishing an emotional information index and storing same; and 6) an inverted index establishment module used for establishing an inverted index for microblog text information and storing same. The present invention solves the difficult problems of the extraction of a microblog emotional entity, the emotional polarity analysis and the search for an emotional entity, etc., thereby providing an intelligent search product for analyzing and monitoring public opinions on a social network.

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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