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Multi-speaker Chinese news broadcasting system based on improved Tacotron2
In recent years, the demand for news broadcasting has increased with the explosion of information. The automatic news broadcasting system based on...
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Automatic content curation of news events
With the rapid development of the internet, a large amount of online news has brought readers a variety of information. Some important events last...
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Hypergraph Enhanced Contrastive Learning for News Recommendation
With the explosion of news information, user interest modeling plays an important role in personalized news recommendation. Many existing methods...
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A bilateral context and filtering strategy-based approach to Chinese entity synonym set expansion
Entity synonyms play a significant role in entity-based tasks. Previous approaches use linguistic syntax, distributional, and semantic features to...
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Political audience diversity and news reliability in algorithmic ranking
Newsfeed algorithms frequently amplify misinformation and other low-quality content. How can social media platforms more effectively promote reliable...
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Enhanced Method for News Headline Classification Using Deep Learning
In a world where human communication is paramount, the complexities of language go beyond spoken words. This research study performs news headline...
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A systematic literature review and existing challenges toward fake news detection models
Emerging of social media creates inconsistencies in online news, which causes confusion and uncertainty for consumers while making decisions...
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MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection
Social media platforms are inundated with an extensive volume of unverified information, most of which originates from heterogeneous data from a...
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Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
Social Media (SM) has become a popular medium for individuals to share their opinions on various topics, including politics, social issues, and daily...
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A CEP-driven framework for real-time news impact prediction on financial markets
Real-time news impact prediction on financial markets is a challenging task for finance experts with limited IT expertise. Many practitioners build...
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On the current state of deep learning for news recommendation
The exponential outbreak of news articles makes it troublesome for the readers to find, select and read the most relevant ones and alleviate the...
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A Natural Language Processing Technique to Identify Exaggerated News Titles
Exaggerated news titles are used to deceive news readers and spread misleading information. This paper presents a new natural language processing...
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Intention-Aware User Modeling for Personalized News Recommendation
Although tremendous efforts have been made in the field of personalized news recommendations, how to accurately model users’ reading preferences to...
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Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
In the world of technology, the electronic and technical development of the fields of communication and the internet has increased, which has caused...
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Robust multimedia spam filtering based on visual, textual, and audio deep features and random forest
Nowadays, there is a growing demand among Internet and social media users for improved protection against spam. Despite numerous studies focused on...
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Stock Price Prediction Using Sentiment Analysis on Financial News
Owing to the tampered variance in the growth of the companies, it’s obvious to observe an extreme volatility in the stock values of the same. It is...
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User Preference Recommendation System and Analytics for News Articles
With advancements in technology, the content space has changed and the major problem faced by the digital space is providing personalized content to...
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Combining User Specific and Global News Features for Neural News Recommendation
News recommendation engines play a vital role in online news services. Such systems help users discover news articles they may want to read, thus...
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Is this news article still relevant? Ranking by contemporary relevance in archival search
Our civilization creates enormous volumes of digital data, a substantial fraction of which is preserved and made publicly available for present and...
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Evaluating and mitigating gender bias in machine learning based resume filtering
Shortlisting resumes for the companies are being automated using artificial intelligence however, training systems to do that incorporate high social...
