Sentiment Analysis and Opinion Mining within Social Networks using Konstanz Information Miner
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Summary
The main aspects of this study are to statistically test and evaluate the major social network websites: Twitter, because it is has rich data source and easy within social networks tools.
- Type
- article
- Published
- 2017-01-01
- Cited by
- 11
- References
- 60
- OpenAlex
- https://openalex.org/W2596247554
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62926056
Keywords
Sentiment analysis, Computer science, Data science, Field (mathematics), Social network analysis
References
- Low-Quality Product Review Detection in Opinion Summarization
- The Dynamics of Seller Reputation: Theory and Evidence from Ebay
- Just How Mad Are You? Finding Strong and Weak Opinion Clauses
- SenticNet: A Publicly Available Semantic Resource for Opinion Mining
- SIMFINDER: A Flexible Clustering Tool for Summarization
- Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
- Smokey: Automatic Recognition of Hostile Messages
- Ontology-based sentiment analysis of twitter posts
- Sensitive webpage classification for content advertising
- Diffusion of innovations
- Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
- Box office prediction based on microblog
- Extracting Policy Positions from Political Texts Using Words as Data
- Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach
- Sentiment analysis algorithms and applications: A survey
- Text-based emotion classification using emotion cause extraction
- A feature selection method based on improved fisher's discriminant ratio for text sentiment classification
- Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
- A survey on sentiment detection of reviews
- Multidimensional text analysis for eRulemaking
Cited by
- Detecting stance in kannada social media code-mixed text using sentence embedding
- Sentimental analysis on social media data using R programming
- Sentiment Classification of Russian Texts Using Automatically Generated Thesaurus
- Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization
- A Linguistic-Based Method that Combines Polarity, Emotion and Grammatical Characteristics to Detect Fake News in Portuguese
- Sentiment Prediction for User Comments on Home Appliances Products
- Analysis of Guiding Quality Evaluation Model Based on Regional Ecological Safety Performance Evaluation and Information Mining
- Sentiment Analysis in Social Networks Using Social Spider Optimization Algorithm
- A novel grid-based many-objective swarm intelligence approach for sentiment analysis in social media
- Multi-lingual opinion mining for social media discourses: an approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer
- Analyzing Social Media Community Sentiment Score for Prediction of Success of Bollywood Movies
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