Chinese weibo sentiment analysis method based on lexical item subjective and objective directivity
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A sentiment analysis and biased technology, applied in semantic analysis, text database clustering/classification, unstructured text data retrieval, etc. Make good use of the emotional characteristics of emojis and other issues to achieve the effect of accurate emotional classification
Inactive Publication Date: 2018-05-15
WUHAN UNIV
View PDF5 Cites 3 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0006] (1) They only think that there is a dependency between emotion and theme, and do not consider the influence of bias on emotion;
[0007] (2) When used in the microblogging field, they cannot make good u
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0067] Embodiment one: see figure 1 , this is a Chinese microblog sentiment analysis method based on the subjective and objective bias of terms. The relationship between bias, emotion and theme uses the Gibbs sampling algorithm to jointly sample the three, and then determine the emotional polarity of microblogs.
[0068] The process of introducing emotional prior knowledge and biased prior knowledge is as follows:
[0069] (3a) Construct empty S×V emotion transfer matrix λ, K×V biased transfer matrix η, K×S×T×V β matrix and final prior matrix F(β,η,λ). Among them, S, T, K, and V respectively represent the number of emotions, the number of topics, the number of biases, and the number of different terms in the data set;
[0070] (3b)η K×V and lambda S×V The elements of are initialized to 1;
[0071] (3c) For each term w ∈ {1,...,V}, each biased label c ∈ {1,...,K} and each sentiment label l ∈ {1,..., S}, if w is biased prior knowledge, η K×V Element η in cw Updates are a...
Embodiment 2
[0087] Embodiment 2: This Chinese microblog sentiment analysis method based on the subjective and objective bias of terms crawls 3000 words from the Sina Weibo website
[0088] Microblogs are used as the target data set to be analyzed. Such as figure 1 As shown, a kind of term based on subjective and objective bias in this embodiment
[0089] Chinese Weibo sentiment analysis method, the steps are as follows:
[0090] S1. Crawl 3,000 pieces of Weibo data from the Sina Weibo website as the target data set to be analyzed, such as Weibo "I bought a new mobile phone today, so happy! [haha]";
[0091] S2. Perform pre-operations such as word segmentation, part-of-speech tagging, and stop word filtering on each microblog, and perform combination operations on emotional words preceded by negative words. For example, using the NLPIR of the Chinese Academy of Sciences as a word segmentation and part-of-speech tagging tool, Weibo "I bought a new mobile phone today, I am so happy! [haha...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention relates to a Chinese weibo sentiment analysis method based on lexical item subjective and objective directivity. The Chinese weibo sentiment analysis method comprises the following stepsof 1, obtaining a to-be-analyzed target weibo dataset; 2, conducting pre-operations like word splitting, word class tagging and stopword filtering on each weibo, and conducting combined operation onsentiment words of which the front are privatives; 3, introducing emotional transcendence knowledge and directivity transcendence knowledge on the preprocessed weibo data; 4, using a Gibbs sampling algorithm to sample the directivity, the sentiment and the subject tab of each lexical item; 5, calculating the directivity and sentiment joint distribution variable of each weibo; 6, calculating the final sentiment polarity probability distribution of each weibo, and then determining the sentiment polarity of each weibo. By means of the Chinese weibo sentiment analysis method based on the lexical item subjective and objective directivity, the conception of the subjective and objective directivity (for short, directivity) of the lexical items is put forward aiming at the weibo data, and the Gibbs algorithm is utilized to jointly model the relation of the directivity, the sentiment and the subject. The Chinese weibo sentiment analysis method is simple and practical, and the weibo sentiment analysis performance can be obviously improved.
Description
technical field [0001] The invention relates to a sentiment analysis method for Chinese microblogs, in particular to proposing the concept of term bias for microblog data sets, and simultaneously introducing emotional prior knowledge and biased prior knowledge, based on bias, emotion The relationship with the topic uses the Gibbs sampling algorithm to jointly sample the three, then calculate the bias and emotion joint distribution variables of each microblog, and then calculate the final emotional probability distribution of each microblog, and then determine the emotional polarity of the microblog , is a Chinese microblog sentiment analysis method based on the subjective and objective bias of terms. Background technique [0002] In recent years, with the rapid development of Internet technology, various social media platforms have risen rapidly, and people are increasingly using social media such as Weibo to express their emotions or opinions. spread. Compared with tradit...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more