8 citations · 15 across the 6 of their papers we have counts for
6 papers
Klout Topics for Modeling Interests and Expertise of Users Across Social Networks
Sarah Ellinger, Prantik Bhattacharyya, Preeti Bhargava +1
This paper presents Klout Topics, a lightweight ontology to describe social media users' topics of interest and expertise. Klout Topics is designed to: be human-readable and consum…
Analyzing users' sentiment towards popular consumer industries and brands on Twitter
Guoning Hu, Preeti Bhargava, Saul Fuhrmann +2
Social media serves as a unified platform for users to express their thoughts on subjects ranging from their daily lives to their opinion on consumer brands and products. These use…
Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media
Preeti Bhargava, Nemanja Spasojevic, Guoning Hu
In this paper, we describe the Lithium Natural Language Processing (NLP) system - a resource-constrained, high- throughput and language-agnostic system for information extraction f…
High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data
Preeti Bhargava, Nemanja Spasojevic, Guoning Hu
The Entity Disambiguation and Linking (EDL) task matches entity mentions in text to a unique Knowledge Base (KB) identifier such as a Wikipedia or Freebase id. It plays a critical…
DAWT: Densely Annotated Wikipedia Texts across multiple languages
Nemanja Spasojevic, Preeti Bhargava, Guoning Hu
In this work, we open up the DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages. The annotations include labeled text mentions mapping to entities (represen…
Modeling context and situations in pervasive computing environments
Preeti Bhargava, Shivsubramani Krishnamoorthy, Ashok Agrawala
In pervasive computing environments, various entities often have to cooperate and integrate seamlessly in a \emph{situation} which can, thus, be considered as an amalgamation of th…