Comparative Analysis of LSTM and Random Forest Algorithms for Sentiment Classification in Movie Reviews-Reference-Cited by-同舟云学术

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Comparative Analysis of LSTM and Random Forest Algorithms for Sentiment Classification in Movie Reviews

Published:2024-06-05 Issue: Volume: Page:1053-1057
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Purohit Shardha¹,Rajput Aarfa¹,Vats Satvik²,Mudgal Rusha³,Shah Owais Ahmad⁴,Verma Aditya²

Affiliation:

1. Noida International University,School of Journalism & Mass Communication,Gautam Budh Nagar,India

2. Graphic Era Hill University,Department of Computer Science & Engineering,Dehradun,India

3. Amity University,Amity School of Communication,Gurugram, Manesar,India

4. K. R. Mangalam University,School of Engineering & Technology,Gurugram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575246.pdf?arnumber=10575246

Reference15 articles.

1. Attention-based Spatialized Word Embedding Bi-LSTM Model for Sentiment Analysis

2. Edutech Enabled Teaching

3. Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

4. Deep Learning and Imbalance Handling on Movie Review Sentiment Analysis

5. Research on emotion classification technology of movie reviews based on topic attention mechanism and dual channel long short term memory

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