Rahul Radhakrishnan Iyer | DeepAI

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∙ 11/02/2020

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce

Searching for and making decisions about products is becoming increasing...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 01/22/2020

Transition-Based Dependency Parsing using Perceptron Learner

Syntactic parsing using dependency structures has become a standard tech...

12 Rahul Radhakrishnan Iyer, et al. ∙

∙ 01/14/2020

Modeling Product Search Relevance in e-Commerce

With the rapid growth of e-Commerce, online product search has emerged a...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 01/08/2020

A Correspondence Analysis Framework for Author-Conference Recommendations

For many years, achievements and discoveries made by scientists are made...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 12/24/2019

Simultaneous Identification of Tweet Purpose and Position

Tweet classification has attracted considerable attention recently. Most...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 12/21/2019

A Machine Learning Framework for Authorship Identification From Texts

Authorship identification is a process in which the author of a text is ...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 12/17/2019

A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media

Social Media has seen a tremendous growth in the last decade and is cont...

0 Rahul Radhakrishnan Iyer, et al. ∙

∙ 12/13/2019

An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

With the increasing growth of social media, people have started relying ...

17 Rahul Radhakrishnan Iyer, et al. ∙

∙ 12/11/2019

Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds

Sentiment Analysis of microblog feeds has attracted considerable interes...

11 Rahul Radhakrishnan Iyer, et al. ∙

∙ 02/27/2016

Content-based Video Indexing and Retrieval Using Corr-LDA

Existing video indexing and retrieval methods on popular web-based multi...

0 Rahul Radhakrishnan Iyer, et al. ∙

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