The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
COBRA - Mining Web for Corporate Brand and Reputation Analysis
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Business intelligence for the enterprise
Business intelligence for the enterprise
ICHIT '08 Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology
SystemT: a system for declarative information extraction
ACM SIGMOD Record
Monetizing User Activity on Social Networks - Challenges and Experiences
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Joint sentiment/topic model for sentiment analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Group CRM: a new telecom CRM framework from social network perspective
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Business insights workbench: an interactive insights discovery solution
Proceedings of the 2007 conference on Human interface: Part II
Named entity recognition in tweets: an experimental study
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using social networks to enhance customer relationship management
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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The social Customer Relationship Management (CRM) landscape is attracting significant attention from customers and enterprises alike as a sustainable channel for tracking, managing and improving customer relations. Enterprises are taking a hard look at this open, unmediated platform because the community effect generated on this channel can have a telling effect on their brand image, potential market opportunity and customer loyalty. In this work we present our experiences in building a system that mines conversations on social platforms to identify and prioritize those posts and messages that are relevant to enterprises. The system presented in this work aims to empower an agent or a representative in an enterprise to monitor, track and respond to customer communication while also encouraging community participation.