Edit Social Preview


Upload an image to customize your repository’s social media preview.
Images should be at least 640×320px (1280×640px for best display).

NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis

SEMEVAL 2017 • Edilson A. Corrêa Jr. • Vanessa Queiroz Marinho • Leandro Borges dos Santos

This paper describes our multi-view ensemble approach to SemEval-2017 Task 4 on Sentiment Analysis in Twitter, specifically, the Message Polarity Classification subtask for English (subtask A). Our system is a voting ensemble, where each base classifier is trained in a different feature space... (read more)

PDF Abstract SEMEVAL 2017 PDF SEMEVAL 2017 Abstract

Tasks
Add Remove

Datasets

  Add Datasets introduced or used in this paper

Results from the Paper
Edit

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper
Add Remove

METHOD TYPE
SVM
Non-Parametric Classification
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Privacy Cookies policy