Research of Method in Sentiment Orientation Analysis of Texts Based on Domain Sentiment Lexicon

2014 ◽  
Vol 13 (9) ◽  
pp. 1612-1621 ◽  
Author(s):  
Yun Pan ◽  
Xiaojun Li ◽  
Hanxiao Shi ◽  
Hong Liu
Keyword(s):  
Orientation Analysis ◽  
Sentiment Lexicon ◽  
Sentiment Orientation

Building Chinese Sentiment Lexicon Based on HowNet

2011 ◽  
Vol 187 ◽  
pp. 405-410 ◽  
Author(s):  
Yu Wei Liu ◽  
Shi Bin Xiao ◽  
Tao Wang ◽  
Shui Cai Shi
Keyword(s):  
Semantic Similarity ◽  
Chinese Text ◽  
Sentence Structure ◽  
Orientation Analysis ◽  
Sentiment Lexicon ◽  
Basic Work ◽  
Good Classification ◽  
Semantic Orientation ◽  
Sentiment Orientation

Judging the sentiment orientation of Chinese words is the basic work of the passage sentiment orientation research. Using Chinese basic sentiment words and corpus, we can identify sentiment words in the passage and expand sentiment lexicon effectively in order to improve the result of text semantic orientation analysis. With the basis of HowNet [1] sentiment words, we construct a Chinese sentiment lexicon by analyzing sentence structure and calculating the score of semantic similarity. We conduct Chinese text sentiment orientation classification experiment with this lexicon, the result shows the accuracy has achieved above 70% and obtained quite good classification effect.

scholarly journals LexiPers: An ontology based sentiment lexicon for Persian

10.29007/f4j4 ◽  
2018 ◽  
Author(s):  
Behnam Sabeti ◽  
Pedram Hosseini ◽  
Gholamreza Ghassem-Sani ◽  
Sَeyed Abolghasem Mirroshandel
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Nearest Neighbors ◽  
Classification Problem ◽  
General Purpose ◽  
Seed Selection ◽  
K Nearest Neighbors ◽  
Sentiment Lexicon ◽  
Sentiment Orientation ◽  
F Measure

Sentiment analysis refers to the use of natural language processing to identify and extract subjective information from textual resources. One approach for sentiment extraction is using a sentiment lexicon. A sentiment lexicon is a set of words associated with the sentiment orientation that they express. In this paper, we describe the process of generating a general purpose sentiment lexicon for Persian. A new graph-based method is introduced for seed selection and expansion based on an ontology. Sentiment lexicon generation is then mapped to a document classification problem. We used the K-nearest neighbors and nearest centroid methods for classification. These classifiers have been evaluated based on a set of hand labeled synsets. The final sentiment lexicon has been generated by the best classifier. The results show an acceptable performance in terms of accuracy and F-measure in the generated sentiment lexicon.

scholarly journals Text Sentiment Orientation Analysis Based on Multi-Channel CNN and Bidirectional GRU With Attention Mechanism

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 134964-134975
Author(s):  
Yan Cheng ◽  
Leibo Yao ◽  
Guoxiong Xiang ◽  
Guanghe Zhang ◽  
Tianwei Tang ◽  
...  
Keyword(s):  
Attention Mechanism ◽  
Orientation Analysis ◽  
Sentiment Orientation

Unsupervised Sentiment Orientation Analysis on Micro-Blog Based on Dependency Parsing and Hierarchical Dirichlet Processes

2014 ◽  
Vol 631-632 ◽  
pp. 1224-1232
Author(s):  
Yong Wang Tang ◽  
Bo Wang ◽  
Hao Hao Tang ◽  
Yao Yi Xi
Keyword(s):  
Experimental Results ◽  
Dependency Parsing ◽  
Dirichlet Processes ◽  
Traditional Methods ◽  
Orientation Analysis ◽  
Unsupervised Method ◽  
Supervised Methods ◽  
Sentiment Dictionary ◽  
Sentiment Orientation ◽  
Hierarchical Dirichlet Processes

Supervised methods of sentiment orientation analysis have got more and more attention for which don’t require labeled corpus and can be applied to different domains. However, traditional methods mostly consider single words which ignore the dependencies between the words of each other. To solve the problem, this paper presents an unsupervised method for sentiment orientation analysis on micro-blog based on dependency parsing and HDP model. Firstly, this method uses dependency parsing to filter the words in the corpus. Secondly, the HDP model is used to mine the implicit topics in the document. Then, a sentiment dictionary is used to calculate the sentiment distributions of the topics. Finally, the sentiment orientation of the whole micro-blog is obtained on the basis of the sentiment distributions of the topics. The experimental results show that the proposed method can effectively identify the sentiment orientation of micro-blog.

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