Research On Emotion Cause Extraction For News

With the development of the news media,more and more netizens have learned about hot news via official Weibo,official We Chat public account,news client,etc.However,due to the large number of news and the continuous dissemination,there are repeated news,etc.People's browsing and reading alone can hardly systematically sort out all the news and extract valuable information from it;on the other hand,a large number of texts make it difficult for policy makers to objectively evaluate the accuracy of the news and respond in a timely manner.For example,rumors,etc.The best sentiment analysis model can learn texts in depth,and can achieve accuracy of 80% to 90% in predicting the emotional polarity of texts.Unfortunately,although there are many applications that already analyze the emotions of text,it is not enough.In order to make emotional predictions better applied,decision makers need to know what caused the emotion.In the public opinion analysis system,decision makers need to know which root causes the distribution of public opinion,and this is the reason why people's emotional distribution is not involved in hot events.Emotional reasoning the task of extracting tasks is to extract the clauses containing the causes from the long sentences with emotional colors.T his article will study from the following three aspects: extraction based on emotional reasons of conditional random fields,extraction of emotional reasons based on neural network combined conditions,and extraction of emotional reasons based on memory ne twork.The experimental results show that the extraction based on the conditional random field is better than the knowledge-based and rule-based method.The neural network combined with the conditional random field model to identify the non-cause clauses is of great help.The reason extraction based on the memory network,the same word the memory matrix of the vector matrix,the memory network combined with the attention mechanism,and the memory network to increase the context window are helpful to the improvement of the experimental results.Changing the question sentence,changing the length of the sentences,and changing the number of layers have the same effect on the experimental results.Changing the question sentence,changing the length of the sentences,and changing the number of layers have the same effect on the experimental results directed impact.