ngakanwidyasprana / relaverse-ml

This is model of ML for classification title campaign using TFJS

Title Classification - RelaVerse (Machine Learning)

Creating a model using TensorFlow.js and natural language processing (NLP) in its implementation. The dataset used is divided into train and test sets, with an 80% proportion for training and 20% for testing. In the preprocessing stage, the stopwords function is used to determine words to be avoided in the NLP process. Then, stemming function is applied to break down words in the campaign titles into their base form. After that, tokenizer is used to separate words in the campaign titles for further text analysis. Next, in the modeling stage, tf.keras.Sequential is used. Finally, the model is converted to model.json using tensorflow.js.

Quickstart/Demo

For quickstart demo, you can use this button to go to google colab for launch the classification model.

Table of Contents

It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English.

• Project Title
• Quickstart/Demo
• Table of Contents
• Installation
• License
• Team Member
• Repository

Installation

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This is where your installation instructions go. You can add snippets here that your readers can copy-paste with click:

git clone https://github.com/NgakanWidyasprana/RelaVerse-ML

After you clone, you can run the jupiter notebook (download jupiter first) :

ipython notebook "python/Text_Classification.ipynb"

or

jupyter notebook "python/Text_Classification.ipynb"

This will open the Jupyter Notebook software and project file in your browser.

This project requires Python and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• tensorflow
• nltk
• Sastrawi

Team Member

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Name	Bangkit-ID	Learning Path	Contact Link
Jason Suhali	M264DSX1746	Machine Learning	LinkedIn and GitHub
Ngakan Putu Widyasprana	M368DSX3659	Machine Learning	LinkedIn and GitHub
Kristian Ekachandra	A264DSX2268	Mobile Development	LinkedIn and GitHub
Mohammad Faiz Azhary	A363DSX1260	Mobile Development	LinkedIn and GitHub
Muhammad Aimar Rizki Utama	C360DSX0650	Cloud Computing	LinkedIn and GitHub
Fakhrity Hikmawan	C360DSX1665	Cloud Computing	LinkedIn and GitHub

Repository

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Learning Paths	Link
Mobile Development	Github
Cloud Computing	Github
Machine Learning	Github

License

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Bangkit Team C23-PS235