CrowdPulse: A framework for real-time semantic analysis of social streams

作者：

Highlights：

• We propose a domain-agnostic modular framework for real-time processing of social streams of human-generated data.

• We introduce a pipeline based on state-of-the-art methodologies for semantic processing and sentiment analysis of textual content.

• We show the application of our framework in two real-world use case scenarios.

• We evaluate the effectiveness of the framework with two experiments based on realworld data.

摘要

Highlights•We propose a domain-agnostic modular framework for real-time processing of social streams of human-generated data.•We introduce a pipeline based on state-of-the-art methodologies for semantic processing and sentiment analysis of textual content.•We show the application of our framework in two real-world use case scenarios.•We evaluate the effectiveness of the framework with two experiments based on realworld data.

论文关键词：Smart cities,Social networks,Text analytics,Sentiment analysis,Semantics

论文评审过程：Received 30 November 2014, Revised 14 June 2015, Accepted 16 June 2015, Available online 24 June 2015, Version of Record 3 September 2015.

论文官网地址：https://doi.org/10.1016/j.is.2015.06.007