2013. Exploiting Topic based Twitter Sentiment for Stock Prediction. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics ...
This paper proposes a technique to leverage topic based sentiments from Twitter to help predict the stock market. We first utilize a con-.
This paper proposes a technique to leverage topic based sentiments from Twitter to help predict the stock market by utilizing a con- tinuous Dirichlet ...
This paper proposes a technique to leverage topic based sentiments from Twitter to help predict the stock market. We first utilize a con-tinuous Dirichlet ...
Nov 14, 2014 · This paper proposes a technique to leverage topic based sentiments from Twitter to help predict the stock market.
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Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL 2013 · Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng ·
This paper proposes a technique to leverage topic based sentiments from Twitter to help predict the stock market. We first utilize a continuous Dirichlet ...
With the SSN, we employ a labeled topic model to jointly model both the tweets and the network structure to assign each node and each edge a topic respectively.
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Aug 4, 2013 · Exploiting topic based twitter sentiment for stock prediction. Research output: Chapters, Conference Papers, Creative and Literary Works ...