Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance

01/08/2021
by   Anwar Alnawas, et al.
4

Social media such as Twitter, Facebook, etc. has led to a generated growing number of comments that contains users opinions. Sentiment analysis research deals with these comments to extract opinions which are positive or negative. Arabic language is a rich morphological language; thus, classical techniques of English sentiment analysis cannot be used for Arabic. Word embedding technique can be considered as one of successful methods to gaping the morphological problem of Arabic. Many works have been done for Arabic sentiment analysis based on word embedding, but there is no study focused on variable parameters. This study will discuss three parameters (Window size, Dimension of vector and Negative Sample) for Arabic sentiment analysis using DBOW and DMPV architectures. A large corpus of previous works generated to learn word representations and extract features. Four binary classifiers (Logistic Regression, Decision Tree, Support Vector Machine and Naive Bayes) are used to detect sentiment. The performance of classifiers evaluated based on; Precision, Recall and F1-score.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 5

02/10/2017

Arabic Language Sentiment Analysis on Health Services

The social media network phenomenon leads to a massive amount of valuabl...
03/22/2018

Sentiment Analysis of Comments on Rohingya Movement with Support Vector Machine

The Rohingya Movement and Crisis caused a huge uproar in the political a...
11/09/2019

Subjective Sentiment Analysis for Arabic Newswire Comments

This paper presents an approach based on supervised machine learning met...
11/05/2015

An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding

In this article, how word embeddings can be used as features in Chinese ...
03/14/2018

The Arabic discourse about support for ISIS on Twitter and what we can learn from that

Using a new supervised aggregated sentiment analysis algorithm (iSA), we...
01/12/2017

SMARTies: Sentiment Models for Arabic Target Entities

We consider entity-level sentiment analysis in Arabic, a morphologically...
02/08/2021

An Enhanced Corpus for Arabic Newspapers Comments

In this paper, we propose our enhanced approach to create a dedicated co...
This week in AI

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