Framework for Sentiment Classification for Morphologically Rich Languages: A Case Study for Sinhala
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- Type
- dissertation
- Published
- 2017-01-01
- Cited by
- 10
- References
- 157
- Access
- Open access
- OpenAlex
- https://openalex.org/W2625850533
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:67684702
Keywords
Natural language processing, Sentiment analysis, Linguistics, Artificial intelligence, Computer science
References
- Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
- Sentiment Analysis Using Common-Sense and Context Information
- SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
- A survey on the role of negation in sentiment analysis
- Annotating Topics of Opinions
- Multilingual Corpus Development for Opinion Mining
- Sentiment Analysis using Support Vector Machines with Diverse Information Sources
- Chinese Sentence-Level Sentiment Classification Based on Fuzzy Sets
- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Using Verbs and Adjectives to Automatically Classify Blog Sentiment
- Yahoo! For Amazon: Sentiment Parsing from Small Talk on the Web
- Correlation-based Feature Selection for Machine Learning
- The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
- Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses
- Polyglot: Distributed Word Representations for Multilingual NLP
- Sentiment Classification of Reviews Using SentiWordNet
- A Shallow Approach to Subjectivity Classification
- Using Text Categorization Techniques for Intrusion Detection
- Text Mining and its Applications to Intelligence, CRM and Knowledge Management
Cited by
- Sinhala Sentiment Analysis using Corpus based Sentiment Lexicon
- Sentiment analysis in Turkish: Supervised, semi-supervised, and unsupervised techniques
- Sentiment Analysis of Sinhala News Comments using Sentence-State LSTM Networks
- Identification of Abusive Sinhala Comments in Social Media using Text Mining and Machine Learning Techniques
- Sentiment Analysis for Sinhala Language using Deep Learning Techniques
- Sentiment classification of Sinhala content in social media
- A Story of Two Surveys: for the Advancement of Sinhalese Mobile Text Entry Research
- Self-Reflective and Introspective Feature Model for Hate Content Detection in Sinhala YouTube Videos
- BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification
- A Comparison of Topic Modeling Techniques for Sinhala
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