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Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task
Ahmed M. Balfagih,
Vlado Keselj
Chemical Engineering
科研成果
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会议稿件
17
引用 （Scopus）
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探究 'Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task' 的科研主题。它们共同构成独一无二的指纹。
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Keyphrases
Tweets
100%
Prediction Task
100%
Price Prediction
100%
Bitcoin
100%
Sentiment Classification
50%
Price Fluctuation
50%
Modeling Approach
25%
Superior Performance
25%
Social Media
25%
Machine Learning Algorithms
25%
Deep Learning Methods
25%
Stable Performance
25%
Sentiment Analysis
25%
Partial Correlation
25%
Language Modeling
25%
Sentiment Label
25%
Twitter Feeds
25%
Cryptocurrency Trading
25%
Tweet Sentiment
25%
Bitcoin Analysis
25%
Tweet Embedding
25%
Classifier Learning
25%
Decision Tree Method
25%
N-gram Model
25%
WiSARD
25%
Data Mining Classifiers
25%
Cryptocurrency
25%
Bitcoin Price
25%
Manual Approach
25%
Computer Science
Bitcoin
100%
Sentiment Classification
33%
Cryptocurrency
33%
Superior Performance
16%
Decision Trees
16%
Social Media
16%
Machine Learning Algorithm
16%
Data Mining
16%
Sentiment Analysis
16%
Language Modeling
16%
Manual Approach
16%
Deep Learning
16%
Physics
Machine Learning
100%
Deep Learning
100%
Data Mining
100%
Earth and Planetary Sciences
Time Series
100%
Machine Learning
100%
Data Mining
100%
Mathematics
Bitcoin
100%
Modeling Approach
16%
Deep Learning
16%
Data Mining
16%
Sentiment Analysis
16%
Decision Tree Method
16%
Economics, Econometrics and Finance
Bitcoin
100%
Cryptocurrency
33%