Analyzing Twitter Data with Deep Learning

Tweets (i.e. microblogging with very short documents) is a frequent data source in machine learning, e.g. for sentiment analysis and financial (stock) predictions. Here are some recent papers related to use of Analyzing Twitter Data with Deep Learning. (note: Twitter itself also does Deep Learning on Twitter data with its Cortex Team). Many of these papers could probably also apply similar data sources such as e.g. Weibo or Facebook.

Best regards,

Amund Tveit (Twitter: @atveit)

Year  Title Author
2016   Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis  D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
2016   ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition  MN Gerguis, C Salama, MW El
2016   LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification  D Vilaresa, Y Dovala, MA Alonsoa
2016   Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models  Y Huang, K Huang, Y Wang, H Zhang, J Guan, S Zhou
2016   Detecting and Analyzing Bursty Events on Twitter  PPH Kung
2016   Twitter spam detection based on deep learning  T Wu, S Liu, J Zhang, Y Xiang
2016   PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.  U Sidarenka, KL Straße
2016   Recurrent Neural Networks for Customer Purchase Prediction on Twitter  M Korpusik, S Sakaki, FCYY Chen
2015   Shared tasks of the 2015 workshop on noisy user-generated text: Twitter lexical normalization and named entity recognition  T Baldwin, MC de Marneffe, B Han, YB Kim, A Ritter
2015   Prediction of changes in the stock market using twitter and sentiment analysis  IV Serban, DS González, X Wu
2015   Twitter Sentiment Analysis Using Deep Convolutional Neural Network  D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
2015   Detecting and Disambiguating Locations Mentioned in Twitter Messages  D Inkpen, J Liu, A Farzindar, F Kazemi, D Ghazi
2015   Exploring co-learning behavior of conference participants with visual network analysis of Twitter data  H Aramo
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Deep Learning in Finance

This posting has recent publications about Deep Learning in Finance (e.g. stock market prediction)

Best regards,
Amund Tveit

Year  Title Author
2016   Genetic deep neural networks using different activation functions for financial data mining  LM Zhang
2016   Computational Intelligence and Financial Markets: A Survey and Future Directions  RC Cavalcante, RC Brasileiro, VLF Souza, JP Nobrega
2016   Classification-based Financial Markets Prediction using Deep Neural Networks  M Dixon, D Klabjan, JH Bang
2016   Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models  Y Huang, K Huang, Y Wang, H Zhang, J Guan, S Zhou
2016 Deep Learning in Finance J. B. Heaton, N. G. Polson, J. H. Witte
2016   Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.  Y Deng, F Bao, Y Kong, Z Ren, Q Dai
2015   Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures  R Fehrer, S Feuerriegel
2015   An application of deep learning for trade signal prediction in financial markets  AC Turkmen, AT Cemgil
2015   Deep Learning for Multivariate Financial Time Series  G BATRES
2015   Deep Modeling Complex Couplings within Financial Markets  W Cao, L Hu, L Cao
2015   Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks  Y Peng, H Jiang
2014   GPU Implementation of a Deep Learning Network for Financial Prediction  R Kumar, AK Cheema
2016   Non-Conformity Detection in High-Dimensional Time Series of Stock Market Data  A Kasuga, Y Ohsawa, T Yoshino, S Ashida
2016   Artificial neural networks approach to the forecast of stock market price movements  L Di Persio, O Honchar
2016   Forecasting Trade Direction and Size of Future Contracts Using Deep Belief Network  A Lai, MK Li, FW Pong
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