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The Effects of Twitter Sentiment on Stock Price Returns
TLDR
In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. Expand
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
What are the limits of automated Twitter sentiment classification? We analyze a large set of manually labeled tweets in different languages, use them as training data, and construct automatedExpand
Stream-based active learning for sentiment analysis in the financial domain
TLDR
An active learning approach was developed and applied to sentiment analysis of tweet streams in the stock market domain. Expand
Data Sparsity Issues in the Collaborative Filtering Framework
TLDR
We present the experimental results of confronting the k-Nearest Neighbor (kNN) algorithm with Support Vector Machine (SVM) in the collaborative filtering framework using datasets with different properties. Expand
Predictive Sentiment Analysis of Tweets: A Stock Market Application
TLDR
The application addressed in this paper studies whether Twitter feeds, expressing public opinion concerning companies and their products, are a suitable data source for forecasting the movements in stock closing prices. Expand
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform
TLDR
This paper describes ClowdFlows, a cloud-based scientific workflow platform, and its extensions enabling the analysis of data streams and active learning. Expand
kNN Versus SVM in the Collaborative Filtering Framework
TLDR
We present experimental results of confronting the k-Nearest Neighbor (kNN) algorithm with Support Vector Machine (SVM) in the collaborative filtering framework using datasets with different properties. Expand
Stance and influence of Twitter users regarding the Brexit referendum
Social media are an important source of information about the political issues, reflecting, as well as influencing, public mood. We present an analysis of Twitter data, collected over 6 weeks beforeExpand
Twitter sentiment for 15 European languages
TLDR
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. Expand
User Profiling for Interest-focused Browsing History
TLDR
We present a system that is incorporated into the Internet Explorer and maintains a dynamic user profile in a form of automatically constructed topic ontology. Expand
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