Sentiment Analysis: Machine Learning approaches comparison-Reference-Cited by-同舟云学术

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Sentiment Analysis: Machine Learning approaches comparison

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)
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Author:

Maada Loukmane¹,Fararni Khalid Al²,Aghoutane Badraddine¹,Farhaoui Yousef³,Fattah Mohammed⁴

Affiliation:

1. Moulay Ismail University,IA Laboratory, Science Faculty,Meknes,Morocco

2. Sidi Mohamed Ben Abdellah University,LISACL, Faculty of Sciences Dhar El Mahraz,Fez,Morocco

3. L-STI, T-IDMS, University of Moulay Ismail,Faculty of Science and Technics,Errachidia,Morocco

4. Moulay Ismail University,Image laboratory,Meknes,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322877/10322879/10322886.pdf?arnumber=10322886

Reference20 articles.

1. Sentiment Analysis on the Level of Customer Satisfaction to Data Cellular Services Using the Naive Bayes Classifier Algorithm

2. Twitter sentiment analysis using multi-class SVM

3. Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

4. Enhancing Hospitality Sentiment Reviews Analysis Performance using SVM N-Grams Method

5. Turning from TF-IDF to TF-IGM for term weighting in text classification

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