Role & Position Member Of Team
This study aims to compare the performance of the BiGRU model with Att-BiGRU in analyzing sentiment on movie review data. This study not only provides insight into the advantages of the Attention mechanism in improving model performance, but also contributes to the development of more effective sentiment analysis methods for data with complex characteristics such as movie reviews.
Kevin Simorangkir 121140150 |
Husni Na'fa Mubarok 121140037 |
Dwi Sulistiani 121450079 |
Ramadhita Atifa 121450131 |
Mayada 121450145 |
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The following members are involved in carrying out the major deep learning research task which consists of 5 members, namely:
Name | ID Student | Class | Major | Position |
---|---|---|---|---|
Kevin Simorangkir | 121140150 | RA | Informatics Engineering | Chairman |
Husni Na'fa Mubarok | 121450078 | RA | Sains Data | Member |
Dwi Sulistiani | 121450079 | RB | Sains Data | Member |
Ramadhita Atifa Hendri | 121450131 | RC | Sains Data | Member |
Mayada | 121450145 | RC | Sains Data | Member |
The dataset used in the research on Sentiment Analysis Using GRU is a Film Review consisting of 5000 data that has been obtained. The dataset can be downloaded via the link below:
https://bit.ly/Dataset-ReviewFilm
Some of the preparations needed to carry out this research project are as follows:
https://www.python.org/downloads/
python --version
[Software VISUAL STUDIO CODE](https://code.visualstudio.com/)
[Software GOOGLE COLLAB](https://colab.research.google.com/)
https://github.com/kevinsimorangkir21/Sentiment-Analysis-Using-GRU.git
cd Sentiment-Analysis-Using-GRU
The following is a research method in analyzing sentiment using GRU on the Film Review Dataset:
The following is documentation of a series of studies for this major Deep Learning assignment for Group 06, namely as follows: