Analyzing users' sentiment towards popular consumer industries and brands on Twitter

no code implementations • 21 Sep 2017 • Guoning Hu, Preeti Bhargava, Saul Fuhrmann, Sarah Ellinger, Nemanja Spasojevic

In this paper, we analyze the opinion of 19M Twitter users towards 62 popular industries, encompassing 12, 898 enterprise and consumer brands, as well as associated subject matter topics, via sentiment analysis of 330M tweets over a period spanning a month.

Sentiment Analysis

Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media

no code implementations • WS 2017 • 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 from noisy user generated text on social media.

High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data

no code implementations • 13 Mar 2017 • 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.

Entity Disambiguation Information Retrieval +2

DAWT: Densely Annotated Wikipedia Texts across multiple languages

no code implementations • 2 Mar 2017 • Nemanja Spasojevic, Preeti Bhargava, Guoning Hu

In addition to the main dataset, we open up several derived datasets including mention entity co-occurrence counts and entity embeddings, as well as mappings between Freebase ids and Wikidata item ids.

Entity Embeddings Information Retrieval +1