Hotel emotion dictionary establishment method, comment emotion analysis method and system

Abstract

The invention provides a hotel emotion dictionary establishment method, comment emotion analysis method and system. The hotel emotion dictionary establishment method, comment emotion analysis method and system comprise establishment of a hotel custom-made emotion dictionary, a network term emotion dictionary, a privative word dictionary and a degree adverb dictionary, wherein the hotel custom-made emotion dictionary is used for grabbing customer network comments about a hotel, extracting adjectives and / or adverbs from the network comments as candidate words, preserving candidate words not included in a preset basic emotion dictionary, selecting at least one positive candidate word to form a positive basic standard word collection and at least one negative candidate word to form a negative basic standard word collection from the non-included candidate words, and determining and storing the custom-made positive or negative property of the candidate words according to the positive basic standard word collection and the negative basic standard word collection; the network term emotion dictionary is used for collecting and storing non-included positive network popular words and negative network popular words, which are used for expressing emotion, in the preset basic emotion dictionary; the privative word dictionary is used for collecting and storing privative words, and the degree adverb dictionary is used for collecting and storing adverbs of degree. The hotel emotion dictionary establishment method, comment emotion analysis method and system can provide strong technical support for the emotion analysis of the hotel network comments.

Description

technical field [0001] The invention relates to the field of sentiment analysis, in particular to a method for establishing a hotel sentiment dictionary, a comment sentiment analysis method and a system. Background technique [0002] With the rapid development of e-commerce, more and more people choose to book hotels on the Internet and make online reviews on their hotel experience. However, the amount of hotel review information is huge and redundant, which brings great difficulties for consumers and merchants to find useful information. How to conveniently and quickly dig out valuable information in comments has gradually become a research hotspot. Sentiment analysis can obtain the user's emotions from the comments, so as to identify the user's preference for the hotel. [0003] Traditional sentiment analysis mainly adopts two types of methods, the method based on sentiment lexicon and the method based on machine learning. Coarse-grained sentiment analysis based on chap...

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Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method for establishing a hotel emotion dictionary, a method and system for emotion analysis of comments, to solve the problem that there is no hotel-specific emotion dictionary in the prior art, and it is useless for Hotel feature classification for sentiment analysis and other issues

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