Accurate frequency-based lexicon generation for opinion mining
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Summary
The goal of this paper is to classify the polarity of the tweets into positive and negative classes using dynamic sentiment lexicons based on frequencies of words in positive andnegative classes.
- Type
- article
- Published
- 2017-09-22
- Cited by
- 8
- References
- 78
- OpenAlex
- https://openalex.org/W2758661097
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7828926
Keywords
Sentiment analysis, Lexicon, Computer science, Microblogging, Measure (data warehouse)
References
- SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
- Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses
- Unsupervised sentiment analysis with emotional signals
- Chinese Sentence-Level Sentiment Classification Based on Fuzzy Sets
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches
- Sentiment Analysis in the News
- Sentiment Analysis of Twitter Data
- Time Aware Knowledge Extraction for microblog summarization on Twitter
- Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold
- Sentiment analysis using Neuro-Fuzzy and Hidden Markov models of text
- Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis
- Applying fuzzy sets for opinion mining
- Web mining research: a survey
- Meta-level sentiment models for big social data analysis
- Adding geographic scopes to web resources
- Sentiment analysis of blogs by combining lexical knowledge with text classification
- Towards OLAP Analysis of Multidimensional Tweet Streams
- Tweet sentiment analysis with classifier ensembles
- Semi-supervised microblog sentiment analysis using social relation and text similarity
Cited by
- A Lexicon Generation Method for Aspect-Based Opinion Mining
- Aspect-based sentiment analysis using adaptive aspect-based lexicons
- Automated genre-based multi-domain sentiment lexicon adaptation using unlabeled data
- Fuzzy Information Diffusion in Twitter by Considering User's Influence
- SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices
- GINS: A Global intensifier-based N-Gram sentiment dictionary
- Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
- Lexicons as fundamental aspects in text comprehension
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