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Found 10 papers, 0 papers with code
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce
Searching for and making decisions about products is becoming increasingly easier in the e-commerce space, thanks to the evolution of recommender systems.
Transition-Based Dependency Parsing using Perceptron Learner
Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models that can be trained on syntactically annotated corpora.
Modeling Product Search Relevance in e-Commerce
With the rapid growth of e-Commerce, online product search has emerged as a popular and effective paradigm for customers to find desired products and engage in online shopping.
A Correspondence Analysis Framework for Author-Conference Recommendations
Often, established scientists and especially newbies are caught up in the dilemma of choosing an appropriate conference to get their work through.
Simultaneous Identification of Tweet Purpose and Position
Tweet classification has attracted considerable attention recently.
A Machine Learning Framework for Authorship Identification From Texts
We formulate the task as a single-label multi-class text categorization problem and propose a supervised machine learning framework incorporating stylometric features.
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 continuing to grow at a rapid pace.
An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions.
Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds
In this work, we investigate whether crowd wisdom is useful in predicting such outcomes and whether their opinions are influenced by the experts in the field.
Content-based Video Indexing and Retrieval Using Corr-LDA
Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging.
