NgramSPD: Exploring optimal n-gram model for sentiment polarity detection in different languages

Author:

Graovac Jelena,Mladenović Miljana,Tanasijević Ivana

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference52 articles.

1. C. Argueta and Y.-S. Chen, Multi-lingual sentiment analysis of social data based on emotion-bearing patterns, In Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP), Dublin, Ireland, Association for Computational Linguistics and Dublin City University, 2014, pp. 38–43.

2. R.A. Baeza-Yates and B. Ribeiro-Neto, Modern information retrieval, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1999.

3. Reliable baselines for sentiment analysis in resource-limited languages: The serbian movie review dataset;Batanović;LREC,2016

4. Ru:-) or:-(character-vs. word-gram feature selection for sentiment classification of osn corpora;Blamey;SGAI Conf., Springer,2012

5. Enriching word vectors with subword information;Bojanowski;Transactions of the Association for Computational Linguistics,2017

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