Reliability of Sentiment Mining Tools: A comparison of Semantria and Social Mention
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Summary
This paper evaluates the reliability as well as the features of the sentiment mining tools Semantria and Social Mention, and compares the sentiment and passion outputs for three social media platforms.
- Type
- dissertation
- Published
- 2014-01-01
- Cited by
- 12
- References
- 26
- OpenAlex
- https://openalex.org/W63223808
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:108104256
Keywords
Sentiment analysis, Social media, Reliability (semiconductor), Data science, Computer science
References
- SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
- Predicting Movie Sales from Blogger Sentiment
- Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
- Public opinion on OER and MOOC: a sentiment analysis of twitter data
- Sentiment in Twitter events
- Predicting the Future with Social Media
- Sentiment Mining within Social Media for Topic Identification
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Opinion mining over twitterspace: Classifying tweets programmatically using the R approach
- Twitter Sentiment in Data Streams with Perceptron
- Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
- Micro-blogging as online word of mouth branding
- Mapping the global Twitter heartbeat: The geography of Twitter
- Opinion Mining and Sentiment Analysis
- Predicting the Present with Google Trends
- Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
- Determining the Sentiment of Opinions
- Methodological Implications of Critical Realism for Mixed-Methods Research
- Using Emoticons to Reduce Dependency in Machine Learning Techniques for Sentiment Classification
- Twitter mood predicts the stock market
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- Online Crowds Opinion-Mining it to Analyze Current Trend: A Review
- Google searches and twitter mood: nowcasting telecom sales performance
- Talking about Climate Change and Global Warming
- Analysis of Tweets Related to Cyberbullying: Exploring Information Diffusion and Advice Available for Cyberbullying Victims
- Analysis of product Twitter data though opinion mining
- Development of tools for the analysis of messages in controlled social network environments
- Spatial Reliability Assessment of Social Media Mining Techniques with Regard to Disaster Domain-Based Filtering
- Online Review Consistency Matters: An Elaboration Likelihood Model Perspective
- Machine Learning-Based Data Mining Method for Sentiment Analysis of the Sewol Ferry Disaster's Effect on Social Stress
- Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data
- Clinical Communication and Collaboration: Three Essays Examining the Impact of IT Interventions on At-Risk Populations using Healthcare Analytics
- Chat-Box: Proposing a Mood Analyzer for Individuals with Social Interaction Disabilities
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