Kotenko et al., 2020
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Watanabe et al. | Theory-driven analysis of large corpora: Semisupervised topic classification of the UN speeches | |
| Sohangir et al. | Big Data: Deep Learning for financial sentiment analysis | |
| Onan | An ensemble scheme based on language function analysis and feature engineering for text genre classification | |
| Kılınç et al. | TTC-3600: A new benchmark dataset for Turkish text categorization | |
| Schwartz et al. | Data-driven content analysis of social media: A systematic overview of automated methods | |
| Martinez-Camara et al. | Polarity classification for Spanish tweets using the COST corpus | |
| Garcia-Lopez et al. | Analysis of relationships between tweets and stock market trends | |
| Shahbazi et al. | Topic modeling in short-text using non-negative matrix factorization based on deep reinforcement learning | |
| Asgari et al. | Identifying key success factors for startups With sentiment analysis using text data mining | |
| Croicu et al. | Improving the selection of news reports for event coding using ensemble classification | |
| Kotenko et al. | The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet | |
| Dehghani et al. | A learning approach for email conversation thread reconstruction | |
| Batista et al. | Text based classification of companies in CrunchBase | |
| Priyanga et al. | Exploring fake news identification using word and sentence embeddings | |
| Xu et al. | A dynamic users’ interest discovery model with distributed inference algorithm | |
| Zhang et al. | Estimating a one-class naive Bayes text classifier | |
| Stefanovič et al. | Approach for multi-label text data class verification and adjustment based on self-organizing map and latent semantic analysis | |
| Saleiro et al. | TexRep: A text mining framework for online reputation monitoring | |
| Trigo et al. | Strategies to improve fairness in artificial intelligence: A systematic literature review | |
| Subercaze et al. | Real-time, scalable, content-based Twitter users recommendation | |
| Wang et al. | An explainable sentiment prediction model based on the portraits of users sharing representative opinions in social sensors | |
| Tuomchomtam et al. | Community recommendation for text post in social media: A case study on Reddit | |
| Assegaff et al. | Experimental of vectorizer and classifier for scrapped social media data | |
| Elloumi et al. | General learning approach for event extraction: Case of management change event | |
| Spahiu et al. | Topic profiling benchmarks in the linked open data cloud: Issues and lessons learned |