Skip to content

dayanfcosta/fiqa-2018-task1

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
datasets
datasets
 
 
feature_extractors
feature_extractors
 
 
models
models
 
 
preprocessing
preprocessing
 
 
README.md
README.md
 
 
headlines_analysis.py
headlines_analysis.py
 
 
svm_headlines_analysis.py
svm_headlines_analysis.py
 
 
svm_post_analysis.py
svm_post_analysis.py
 
 
utilities.py
utilities.py
 
 

Repository files navigation

This repository contains a sentiment analysis system which participated of FiQA 2018 Task 1 (https://sites.google.com/view/fiqa), an open challenge of The Web Conference

This system is based on a simple machine learning approach, a supervised learning with the main algorithm a SVC (Support Vector Classifier) and a SVR (Support Vector Regressor) with some variety of parameters combined using a Grid Search CV.

This system was used on my finals at Federal University of Goiás and the related paper is hosted on:

https://dl.acm.org/citation.cfm?doid=3184558.3191828

About

The sentiment analysis system which participate of FiQA 2018 Task 1 (https://sites.google.com/view/fiqa)

Resources

Readme
Activity

Stars

11 stars

Watchers

0 watching

Forks

3 forks
Report repository

Releases

No releases published

Packages

 
 
 

Languages