Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations

no code implementations • WS 2019 • Amita Misra, Mansurul Bhuiyan, Jalal Mahmud, Saurabh Tripathy

We further investigate the results of negation scope detection for the sentiment prediction task on customer service conversation data using both a traditional SVM and a Neural Network.

Negation Sentiment Analysis

Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations

no code implementations • 16 Jul 2018 • Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy, Jalal Mahmud, Rama Akkiraju

Lately, there have been several works proposing a novel taxonomy for fine-grained dialogue acts as well as develop algorithms for automatic detection of these acts.

Negation

"How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts

no code implementations • 15 Sep 2017 • Shereen Oraby, Pritam Gundecha, Jalal Mahmud, Mansurul Bhuiyan, Rama Akkiraju

We characterize differences between customer and agent behavior in Twitter customer service conversations, and investigate the effect of testing our system on different customer service industries.

PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery

no code implementations • 19 Jul 2016 • Mansurul Bhuiyan, Mohammad Al Hasan

The proposed framework is generic to support discovery of the interesting set, sequence and graph type patterns.