Enhanced News-reading: Interactive and Visual Integration of Social Media Information
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Summary
This paper demonstrates an approach that combines professionally generated news content with user-generated data and applies Natural Language Processing methods to allow users to filter additional information, which is also supported visually.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 1
- References
- 22
- OpenAlex
- https://openalex.org/W822503843
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16107048
Keywords
Computer science, Metadata, Newspaper, World Wide Web, Social media
References
- BLEWS: Using Blogs to Provide Context for News Articles
- Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel
- Visual opinion analysis of customer feedback data
- Adding semantics to microblog posts
- Visual Analysis of Social Media Data
- Categorization and analysis of text in computer mediated communication archives using visualization
- Challenges and opportunities of local journalism: a case study of the 2012 Korean general election
- Visual sentiment analysis on twitter data streams
- A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs
- Determining the Sentiment of Opinions
- Breaking news on twitter
- Linking online news and social media
- Analyzing (social media) networks with NodeXL
- Mining and summarizing customer reviews
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- Twitter as a Corpus for Sentiment Analysis and Opinion Mining
- A New Approach to Describe Web Services
- Sentiment in short strength detection informal text
- Opinion Mining and Sentiment Analysis
- Pulse: Mining Customer Opinions from Free Text
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