Using Sentiment Analysis to Spot Trending Products-Reference-Cited by-同舟云学术

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Using Sentiment Analysis to Spot Trending Products

Published:2023-10-14 Issue: Volume: Page:
ISSN:
Container-title:2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE)
language:
Short-container-title:

Author:

Darraz Nossayba¹,Karabila Ikram¹,El-Ansari Anas²,Alami Nabil³,Lazaar Mohamed⁴,Mallahi Mostafa El¹

Affiliation:

1. Sidi Mohamed Ben Abdellah University,High Normal School,Department of Mathematics and Computer Science, IPI Laboratory,Fez,Morocco

2. Mohammed First University,Polydisciplinary Faculty,Computer Science Department, MASI Laboratory,Nador,Morocco

3. Mohammed First University,Higher School of Technology, MASI Laboratory,Nador,Morocco

4. Mohamed V University,ENSIAS,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347564/10348180/10348252.pdf?arnumber=10348252

Reference24 articles.

1. A novel approach for opinion spam detection in e-commerce;Shirin

2. A Real-Time Twitter Trend Analysis and Visualization Framework

3. Sentiment analysis of Twitter texts using Machine learning algorithms

4. Analysis of Twitter Specific Preprocessing Technique for Tweets

5. The impact of natural language preprocessing on big data sentiment analysis;Khader;Int. Arab J. Inf. Technol,2019

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