Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach
In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. On...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2016-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
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| Online Access: | https://csimq-journals.rtu.lv/article/view/1400 |
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| author | Gatis Špats Ilze Birzniece |
| author_facet | Gatis Špats Ilze Birzniece |
| author_sort | Gatis Špats |
| collection | DOAJ |
| description | In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content classification in Latvian text challenging is the limited publicly available text corpora for classifier training. We have joined several sources and created a publically available extended lexicon. Our results are comparable to or outperform current achievements in opinion mining in Latvian. Experiments show that lexicon-based methods provide more accurate opinion mining than the application of Naive Bayes machine learning classifier on Latvian tweets. Methods used during this study could be further extended using human annotators, unsupervised machine learning and bootstrapping to create larger corpora of classified text. |
| format | Article |
| id | doaj-art-377c5bbe3087405e9696863e545fcfeb |
| institution | OA Journals |
| issn | 2255-9922 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-377c5bbe3087405e9696863e545fcfeb2025-08-20T01:56:42ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222016-07-0107515910.7250/csimq.2016-7.03813Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning ApproachGatis Špats0Ilze Birzniece1Department on Artificial Intelligence and Systems Engineering, Institute of Applied Computer Systems, Riga Technical University, 1 Kalku, Riga, LV-1658Department on Artificial Intelligence and Systems Engineering, Institute of Applied Computer Systems, Riga Technical University, 1 Kalku, Riga, LV-1658In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, semantic polarity analysis and machine learning. One of the most significant constraints that make application of opinion mining for written content classification in Latvian text challenging is the limited publicly available text corpora for classifier training. We have joined several sources and created a publically available extended lexicon. Our results are comparable to or outperform current achievements in opinion mining in Latvian. Experiments show that lexicon-based methods provide more accurate opinion mining than the application of Naive Bayes machine learning classifier on Latvian tweets. Methods used during this study could be further extended using human annotators, unsupervised machine learning and bootstrapping to create larger corpora of classified text.https://csimq-journals.rtu.lv/article/view/1400Sentiment analysisopinion miningsemantic polarityautomatic classification of Latvian text |
| spellingShingle | Gatis Špats Ilze Birzniece Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach Complex Systems Informatics and Modeling Quarterly Sentiment analysis opinion mining semantic polarity automatic classification of Latvian text |
| title | Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach |
| title_full | Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach |
| title_fullStr | Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach |
| title_full_unstemmed | Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach |
| title_short | Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach |
| title_sort | opinion mining in latvian text using semantic polarity analysis and machine learning approach |
| topic | Sentiment analysis opinion mining semantic polarity automatic classification of Latvian text |
| url | https://csimq-journals.rtu.lv/article/view/1400 |
| work_keys_str_mv | AT gatisspats opinionmininginlatviantextusingsemanticpolarityanalysisandmachinelearningapproach AT ilzebirzniece opinionmininginlatviantextusingsemanticpolarityanalysisandmachinelearningapproach |