Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations.
Evan DufraisseCélina TreuillierArmelle BrunJulien TourilleSylvain CastagnosAdrian PopescuPublished in: PoliticalNLP@LREC (2022)
Keyphrases
- natural language processing
- sentiment analysis
- news recommendation
- information extraction
- recommender systems
- natural language
- machine learning
- news articles
- text mining
- wordnet
- hot topics
- computational linguistics
- free text
- social media
- online news
- text summarization
- named entity recognition
- public opinion
- word sense disambiguation
- semantic relations
- named entities
- question answering
- machine translation
- text processing
- consumer reviews
- customer reviews
- keywords
- language processing
- knowledge representation
- computational biology
- news stories
- cross media
- artificial intelligence
- feature engineering
- semantic analysis
- textual data
- user generated content
- product reviews
- blog posts
- personalized recommendation
- expert systems
- news items
- website
- feature selection
- recommendation systems
- human beings
- conditional random fields