NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis

by   Samhaa R. El-Beltagy, et al.

This paper describes two systems that were used by the authors for addressing Arabic Sentiment Analysis as part of SemEval-2017, task 4. The authors participated in three Arabic related subtasks which are: Subtask A (Message Polarity Classification), Sub-task B (Topic-Based Message Polarity classification) and Subtask D (Tweet quantification) using the team name of NileTMRG. For subtask A, we made use of our previously developed sentiment analyzer which we augmented with a scored lexicon. For subtasks B and D, we used an ensemble of three different classifiers. The first classifier was a convolutional neural network for which we trained (word2vec) word embeddings. The second classifier consisted of a MultiLayer Perceptron, while the third classifier was a Logistic regression model that takes the same input as the second classifier. Voting between the three classifiers was used to determine the final outcome. The output from task B, was quantified to produce the results for task D. In all three Arabic related tasks in which NileTMRG participated, the team ranked at number one.



There are no comments yet.


page 1

page 2

page 3

page 4


Sentiment Analysis in Poems in Misurata Sub-dialect – A Sentiment Detection in an Arabic Sub-dialect

Over the recent decades, there has been a significant increase and devel...

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

This paper describes our multi-view ensemble approach to SemEval-2017 Ta...

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

Sentiment analysis (SA) is a task related to understanding people's feel...

NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor

The paper describes the systems submitted to SemEval-2020 Task 8: Memoti...

Two Stages Approach for Tweet Engagement Prediction

This paper describes the approach proposed by the D2KLab team for the 20...

Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic

One crucial aspect of sentiment analysis is negation handling, where the...

TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification

This paper describes the participation of the team "TwiSE" in the SemEva...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.