May 1, 2016 · In this paper, we combine dynamic query expansion with sentiment analysis to improve the performance of incident detection. After obtaining ...
This paper proposes to filter microblogs by calculating emotion values via Sentiment Analysis (SA), thus to improve the accuracy of detection. Experimental ...
This paper proposes to filter microblogs by calculating emotion values via Sentiment Analysis (SA), thus to improve the accuracy of detection. Experimental ...
If environmental incidents can be detected timely through microblog, it will be possible to reduce risk factors and improve social stability. Microblog has now ...
This study constructs a large-scale government affairs microblog dataset and explore the correlation of each microblog with the sentiment values.
Missing: Detection | Show results with:Detection
If environmental incidents can be detected timely through microblog, it will be possible to reduce risk factors and improve social stability. Microblog has now ...
Dec 16, 2022 · This paper mainly analyzes and compares the advantages and disadvantages of the SVM method of traditional machine learning and the Long Short- ...
Missing: Incidents | Show results with:Incidents
We constructed a Chinese Emotion Lookup Table (ELT) based on the Chinese Sentiment Word List developed ... Sentiment analysis of chinese documents: From.
Missing: Incidents | Show results with:Incidents
Aug 1, 2022 · The analytical framework proposed in this paper also applies to the public sentiment analysis and policy making for other major public events.
This paper presents a sentiment analysis method for Chinese micro-blog text based on the sentiment dictionary to support network regulators' work better.
Missing: Incidents Detection