Our system consists of two components: a lexicon builder and a sentiment classifier. These two components are capable of running on a large-scale distributed�...
Sentiment analysis is one of the most active research areas in natural language processing, web/social network mining, and text/multimedia data mining. The�...
This paper develops a novel method for sentiment learning in the MapReduce framework that exploits the hashtags and emoticons inside a tweet, as sentiment�...
time to process. In this paper, we describe a large-scale distributed system for real-time Twitter sentiment analysis. Our system consists of two components�...
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This paper develops a novel method for sentiment learning in the Spark framework that exploits the hashtags and emoticons inside a tweet, as sentiment�...
Sentiment analysis on Twitter data has attracted much attention recently. One of the system's key features, is the immediacy in communication with other�...
This paper describes the implementation of parallelized machine learning methods in Apache Spark to predict sentiments in real-time tweets and explains how this�...
Mar 4, 2017 � Towards Building Large-Scale Distributed Systems for Twitter Sentiment Analysis. In Proceedings of the Annual ACM Symposium on Applied Computing�...
Towards building large-scale distributed systems for Twitter sentiment analysis. In Proceedings of the 27th Annual ACM Symposium on Applied Computing�...
Towards building large-scale distributed systems for twitter sentiment analysis. VN Khuc, C Shivade, R Ramnath, J Ramanathan. Proceedings of the 27th annual ACM�...