Cascading classifiers for twitter sentiment analysis with emotion lexicons

Hiram Calvo, Omar Juárez Gambino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer International Publishing AG, part of Springer Nature 2018. Many different attempts have been made to determine sentiment polarity in tweets, using emotion lexicons and different NLP techniques with machine learning. In this paper we focus on using emotion lexicons and machine learning only, avoiding the use of additional NLP techniques. We present a scheme that is able to outperform other systems that use both natural language processing and distributional semantics. Our proposal consists on using a cascading classifier on lexicon features to improve accuracy. We evaluate our results with the TASS 2015 corpus, reaching an accuracy only 0.07 below the top-ranked system for task 1, 3 levels, whole test corpus. The cascading method we implemented consisted on using the results of a first stage classification with Multinomial Naïve Bayes as additional columns for a second stage classification using a Naïve Bayes Tree classifier with feature selection. We tested with at least 30 different classifiers and this combination yielded the best results.
Original languageAmerican English
Title of host publicationCascading classifiers for twitter sentiment analysis with emotion lexicons
Pages270-280
Number of pages241
ISBN (Electronic)9783319754864
DOIs
StatePublished - 1 Jan 2018
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2019 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9624 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/19 → …

    Fingerprint

Cite this

Calvo, H., & Juárez Gambino, O. (2018). Cascading classifiers for twitter sentiment analysis with emotion lexicons. In Cascading classifiers for twitter sentiment analysis with emotion lexicons (pp. 270-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9624 LNCS). https://doi.org/10.1007/978-3-319-75487-1_21