Abstract | ||
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The main goal of the paper is to present that word's sentiment can be discovered from propagation through well-defined word networks such as Word-Net. Therefore a new method for propagation of sentiment from a given word seed - Micro-WNOp corpus over the word network (WordNet 3.0) has been proposed and evaluated. The experimental studies proved that WordNet has a great potential in sentiment propagation, even if types of links (e.g. hyponymy, heteronymy etc.) and semantic meaning of words are not taken into consideration. |
Year | DOI | Venue |
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2014 | 10.1007/978-3-319-05458-2_28 | INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT II |
Keywords | Field | DocType |
sentiment analysis, belief propagation, relational propagation, wordnet, sentiwordnet, complex networks, linguistic network | Sentiment analysis,Computer science,Complex network,Artificial intelligence,Natural language processing,WordNet,Belief propagation | Conference |
Volume | ISSN | Citations |
8398 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrzej Misiaszek | 1 | 0 | 1.35 |
Przemyslaw Kazienko | 2 | 640 | 63.34 |
Marcin Kulisiewicz | 3 | 9 | 1.58 |
Lukasz Augustyniak | 4 | 14 | 4.08 |
Wlodzimierz Tuliglowicz | 5 | 19 | 1.78 |
Adrian Popiel | 6 | 0 | 1.01 |
Tomasz Kajdanowicz | 7 | 251 | 34.89 |