Sentiment classification of long newspaper articles based on automatically generated thesaurus with various semantic relationships
The paper describes a new approach for sentiment classification of long texts from newspapers using an automatically generated thesaurus. An important part of the proposed approach is specialized thesaurus creation and computation of term's sentiment polarities based on relationships between te...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2017-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct21/files/Shc.pdf
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