Zhao et al., 2019
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Label propagation-based approach for detecting review spammer groups on e-commerce websites | |
| Yin et al. | Deep fusion of multimodal features for social media retweet time prediction | |
| Schouten et al. | Supervised and unsupervised aspect category detection for sentiment analysis with co-occurrence data | |
| Fang et al. | Dynamic knowledge graph based fake-review detection | |
| WO2020249125A1 (en) | Method and system for automatically training machine learning model | |
| Dhingra et al. | Spam analysis of big reviews dataset using fuzzy ranking evaluation algorithm and Hadoop | |
| Rathore et al. | Identifying groups of fake reviewers using a semisupervised approach | |
| Mahmud et al. | A comparative analysis of graph neural networks and commonly used machine learning algorithms on fake news detection | |
| Zhang et al. | Precision Marketing Method of E‐Commerce Platform Based on Clustering Algorithm | |
| CN113762703A (en) | Method and device for determining enterprise portrait, computing equipment and storage medium | |
| Zhang et al. | A dynamic attributes-driven graph attention network modeling on behavioral finance for stock prediction | |
| Bai et al. | A rumor detection model incorporating propagation path contextual semantics and user information | |
| Kothamasu et al. | Sentiment analysis on twitter data based on spider monkey optimization and deep learning for future prediction of the brands | |
| Ha et al. | Automated weak signal detection and prediction using keyword network clustering and graph convolutional network | |
| Corizzo et al. | HURI: Hybrid user risk identification in social networks | |
| Mewada et al. | NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media | |
| Mewada et al. | SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection | |
| Huang et al. | An intelligent mechanism to automatically discover emerging technology trends: Exploring regulatory technology | |
| Iqbal et al. | Association Rule Analysis-Based Identification of Influential Users in the Social Media. | |
| Ben Khalifa et al. | Evidential group spammers detection | |
| Zhao et al. | Detecting fake reviews via dynamic multimode network | |
| Zhang et al. | Multi-view dynamic heterogeneous information network embedding | |
| Aslam et al. | Advancements in fake news detection: A comprehensive machine learning approach across varied datasets | |
| Wang et al. | An Opinion Spam Detection Method Based on Multi-Filters Convolutional Neural Network. | |
| Sable et al. | Deep Learning-Based Approach for Monitoring and Controlling Fake Reviews |