A dictionary-based sentiment classification method considering subject-predicate relation

2016 ◽  
Author(s):  
Takashi Kawabe ◽  
Yukiko Yamamoto ◽  
Setsuo Tsuruta ◽  
Rainer Knauf
Keyword(s):  
Sentiment Classification ◽  
Classification Method

scholarly journals Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13753-13754
Author(s):  
Anjali Bhavan ◽  
Mohit Sharma ◽  
Ramit Sawhney ◽  
Rajiv Ratn Shah
Keyword(s):  
Analytical Methods ◽  
Graphical Method ◽  
Sentiment Classification ◽  
Classification Method ◽  
The Political ◽  
Community Based ◽  
Parliamentary Debate ◽  
Important Challenge ◽  
Elected Representatives ◽  
Future Work

Gauging political sentiments and analyzing stances of elected representatives pose an important challenge today, and one with wide-ranging ramifications. Community-based analysis of parliamentary debate sentiments could pave a way for better insights into the political happenings of a nation and help in keeping the voters informed. Such analysis could be given another dimension by studying the underlying connections and networks in such data. We present a sentiment classification method for UK Parliament debate transcripts, which is a combination of a graphical method based on DeepWalk embeddings and text-based analytical methods. We also present proof for our hypothesis that parliamentarians with similar voting patterns tend to deliver similar speeches. We also provide some further avenues and future work towards the end.

scholarly journals An Unsupervised Sentiment Classification Method Based on Multi-Level Fuzzy Computing and Multi-Criteria Fusion

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 145422-145434
Author(s):  
Bingkun Wang ◽  
Weina He ◽  
Zhen Yang ◽  
Shufeng Xiong
Keyword(s):  
Sentiment Classification ◽  
Classification Method ◽  
Multi Level ◽  
Fuzzy Computing
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