[图书][B] Learning to classify text using support vector machines
T Joachims - 2012 - books.google.com
Text Classification, or the task of automatically assigning semantic categories to natural
language text, has become one of the key methods for organizing online information. Since …
language text, has become one of the key methods for organizing online information. Since …
Emotion detection in email customer care
N Gupta, M Gilbert, GD Fabbrizio - Computational Intelligence, 2013 - Wiley Online Library
Prompt and knowledgeable responses to customers' email are critical in maximizing
customer satisfaction. Such messages often contain complaints about unfair treatment due …
customer satisfaction. Such messages often contain complaints about unfair treatment due …
Improving short text classification by learning vector representations of both words and hidden topics
H Zhang, G Zhong - Knowledge-Based Systems, 2016 - Elsevier
This paper presents a general framework for short text classification by learning vector
representations of both words and hidden topics together. We refer to a large-scale external …
representations of both words and hidden topics together. We refer to a large-scale external …
Syntf: Synthetic and differentially private term frequency vectors for privacy-preserving text mining
B Weggenmann, F Kerschbaum - The 41st International ACM SIGIR …, 2018 - dl.acm.org
Text mining and information retrieval techniques have been developed to assist us with
analyzing, organizing and retrieving documents with the help of computers. In many cases, it …
analyzing, organizing and retrieving documents with the help of computers. In many cases, it …
Digital multimedia contact center with tier escalation and deescalation in response to changed criteria
J Broughton, KJ McPartlan, E Rodgers… - US Patent …, 2007 - Google Patents
US PATENT DOCUMENTS 6,850,599 B2 2/2005 Yoshitani..................... 379, 37 6,850,613
B2* 2/2005 McPartlan et al...... 379,265.02 5,613,068 A 3/1997 Gregg et al. 6,868,059 B1 …
B2* 2/2005 McPartlan et al...... 379,265.02 5,613,068 A 3/1997 Gregg et al. 6,868,059 B1 …
Automatic analysis of call-center conversations
We describe a system for automating call-center analysis and monitoring. Our system
integrates transcription of incoming calls with analysis of their content; for the analysis, we …
integrates transcription of incoming calls with analysis of their content; for the analysis, we …
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to
the development of recommender systems--a personalized information filtering technology …
the development of recommender systems--a personalized information filtering technology …
E-mail mining: Emerging techniques for e-mail management
Email has met tremendous popularity over the past few years. People are sending and
receiving many messages per day, communicating with partners and friends, or exchanging …
receiving many messages per day, communicating with partners and friends, or exchanging …
Building an ensemble of fine-tuned naive Bayesian classifiers for text classification
K El Hindi, H AlSalman, S Qasem, S Al Ahmadi - Entropy, 2018 - mdpi.com
Text classification is one domain in which the naive Bayesian (NB) learning algorithm
performs remarkably well. However, making further improvement in performance using …
performs remarkably well. However, making further improvement in performance using …
[PDF][PDF] Automatically selecting answer templates to respond to customer emails.
R Malik, LV Subramaniam, S Kaushik - IJCAI, 2007 - researchgate.net
Contact center agents typically respond to email queries from customers by selecting
predefined answer templates that relate to the questions present in the customer query. In …
predefined answer templates that relate to the questions present in the customer query. In …