Building a Fake News Detector with Turicreate

In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app

Note: These commands are written as if you are running a jupyter notebook.

Building the Machine Learning Model

Data Gathering

To build a classifier, you need a lot of data. George McIntire (GH: @joolsa) has created a wonderful dataset containing the headline, body and whether it is fake or real. Whenever you are looking for a dataset, always try searching on Kaggle and GitHub before you start building your own

Dependencies

I used a Google Colab instance for training my model. If you also plan on using Google Colab then I recommend choosing a GPU Instance (It is Free) This allows you to train the model on the GPU. Turicreate is built on top of Apache's MXNet Framework, for us to use GPU we need to install @@ -72,7 +72,7 @@ a CUDA compatible MXNet package.

If you do not wish to train on GPU or are running it on your computer, you can ignore the last two lines

Downloading the Dataset

!wget -q "https://github.com/joolsa/fake_real_news_dataset/raw/master/fake_or_real_news.csv.zip"
@@ -80,7 +80,7 @@ a CUDA compatible MXNet package.

Model Creation

import turicreate as tc
@@ -100,14 +100,14 @@ a CUDA compatible MXNet package.

Splitting Dataset

train, test = dataSFrame.random_split(.9)

Training

model = tc.text_classifier.create(
@@ -132,7 +132,7 @@ a CUDA compatible MXNet package.

Testing the Model

est_predictions = model.predict(test)
@@ -165,7 +165,7 @@ a CUDA compatible MXNet package.

Exporting the Model

model_name = 'FakeNews'
@@ -178,9 +178,9 @@ a CUDA compatible MXNet package.
 
 Link to Colab Notebook
 
-Building the App using SwiftUI
+Building the App using SwiftUI
 
-Initial Setup
+Initial Setup
 
 First we create a single view app (make sure you check the use SwiftUI button)
 
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From 9e620084e57378952c1a7f8e0a772ebebd18932b Mon Sep 17 00:00:00 2001
From: Navan Chauhan 
Date: Wed, 27 Mar 2024 20:35:09 -0600
Subject: quick fix

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+    Building a Fake News Detector with Turicreate
     
     
     
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From 01ff93c9c16867216f2d249664803860e1d6d5eb Mon Sep 17 00:00:00 2001
From: Navan Chauhan 
Date: Wed, 27 Mar 2024 22:49:40 -0600
Subject: generate new theme

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index 553831d..8b784e5 100644
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+++ b/docs/posts/2019-12-22-Fake-News-Detector.html
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 	Building a Fake News Detector with Turicreate
 
 In this tutorial we will build a fake news detecting app from scratch, using Turicreate for the machine learning model and SwiftUI for building the app
@@ -308,14 +326,15 @@ DescriptionThe bag-of-words model is a simplifying representation used in NLP, i

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