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This repository contains program code in solving sentiment using GRU. This program is designed in such a way as to be a major assignment for the Deep Learning course with the course code SD4102.

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Sentiment Analysis Using GRU

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Table Of Contents

Introduction

Member Of Team

Role & Position Member Of Team

Dataset

Installation Steps

Documentation

Research Method

Introduction

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.

Member Of Team


Kevin Simorangkir

121140150

Husni Na'fa Mubarok

121140037

Dwi Sulistiani

121450079

Ramadhita Atifa

121450131

Mayada

121450145

ID & Position Member Of Team

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

Dataset

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

Installation Steps

Preparation of Needs

Some of the preparations needed to carry out this research project are as follows:

  • Install python software/code first
  • https://www.python.org/downloads/
  • After installing, first check whether Python has been installed properly using the following command:
  • python --version
  • Once the python version appears, please open a text editor that supports it such as Visual Studio Code and the web-based Google Collab. Here are the links to use both (please download and install):
  • [Software VISUAL STUDIO CODE](https://code.visualstudio.com/)
    [Software GOOGLE COLLAB](https://colab.research.google.com/)

    Program Running Stage

  • Open a terminal / something like GitBash etc. Please clone this Repository by following the following command and copy it in your terminal:
  • https://github.com/kevinsimorangkir21/Sentiment-Analysis-Using-GRU.git
  • Please change the directory to point to the clone folder with the following command:
  • cd Sentiment-Analysis-Using-GRU
  • Next step, open the text editor that you have that supports python language. Please direct your cursor to the Analysis GRU.ipynb file.
  • Please click Run All (On Visual Studio Code) and Runtime -> Run All (On Google Collab) . Then the program will run successfully.
  • Research Method

    The following is a research method in analyzing sentiment using GRU on the Film Review Dataset:

    Documentation

    The following is documentation of a series of studies for this major Deep Learning assignment for Group 06, namely as follows:

    About

    This repository contains program code in solving sentiment using GRU. This program is designed in such a way as to be a major assignment for the Deep Learning course with the course code SD4102.

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