Detecting Fake Political News Online

Learn how to use NLP and passive aggressive algorithm to spot fake news online.

Image for post

The booming development of online social networks in the recent years has spiked the volume of fake news for various commercial and political purposes across many online platforms.

We all have stumbled upon fake news of politicians dying, some leader giving out statement about temples and mosques and what not.

The misleading news has tremendously affected the readers and has brought a very negative effect on the offline society already.

Thus, an important goal in improving the trustworthiness of information on online social networks is to identify the fake news timely and correctly.

In this post I’ll be guiding you through building a **Fake news detection **classifier using Passive Agressive Algorithm.


The data-set used for the classifier can be downloaded here.

The data-set contains three columns namely:

  1. Title: Title of the news article
  2. Text: Content of the news article
  3. Label: Two labels- FAKE and REAL.

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A subset of the data-set

In a nutshell, using sklearn, a TfidfVectorizer is built on the data-set. Then, a Passive Aggressive Classifier is initialized and the model is fit. In the end, the accuracy score and the confusion matrix quantitatively explain how well the model fares.

#data-science #fake-news #machine-learning #deep learning

What is GEEK

Buddha Community

Detecting Fake Political News Online

Fake News Detection Project in Python [With Coding]

Ever read a piece of news which just seems bogus? We all encounter such news articles, and instinctively recognise that something doesn’t feel right. Because of so many posts out there, it is nearly impossible to separate the right from the wrong. Here, we are not only talking about spurious claims and the factual points, but rather, the things which look wrong intricately in the language itself.

Did you ever wonder how to develop a fake news detection project? But there is no easy way out to find which news is fake and which is not, especially these days, with the speed of spread of news on social media. Still, some solutions could help out in identifying these wrongdoings.

There are two ways of claiming that some news is fake or not: First, an attack on the factual points. Second, the language. The former can only be done through substantial searches into the internet with automated query systems. It could be an overwhelming task, especially for someone who is just getting started with data science and natural language processing.

The latter is possible through a natural language processing pipeline followed by a machine learning pipeline. It is how we would implement our fake news detection project in Python. It is another one of the problems that are recognized as a machine learning problem posed as a natural language processing problem.

There are many datasets out there for this type of application, but we would be using the one mentioned here. The data contains about 7500+ news feeds with two target labels: fake or real. The dataset also consists of the title of the specific news piece.

The steps in the pipeline for natural language processing would be as follows:

  1. Acquiring and loading the data
  2. Cleaning the dataset
  3. Removing extra symbols
  4. Removing punctuations
  5. Removing the stopwords
  6. Stemming
  7. Tokenization
  8. Feature extractions
  9. TF-IDF vectorizer
  10. Counter vectorizer with TF-IDF transformer
  11. Machine learning model training and verification

#data science #fake news #fake news detection #fake news detection project #python project #python project ideas

Arno  Bradtke

Arno Bradtke

1602846000

Fake News Detection Using Machine Learning

n this modern world, data is very important and by the 2020 year, 1.7 megaBytes data generated per second. So there are many technologies that change the world by this large amount of data. Machine learning is one of them and we are using this technology to detect fake news.

Machine Learning

Machine learning is an application of AI which provides the ability to system to learn things without being explicitly programmed. Machine learning works on data and it will learn through some data. Machine learning is very different from the traditional approach. In, Machine learning we fed the data, and the machine generates the algorithm. Machine learning has three types of learning

  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning

Supervised learning means we trained our model with labeled examples so the machine first learns from those examples and then performs the task on unseen data. In this fake news detection project, we are using Supervised learning.

Check out more here

What is Fake news?

Fake news simple meaning is to incorporate information that leads people to the wrong path. Nowadays fake news spreading like water and people share this information without verifying it. This is often done to further or impose certain ideas and is often achieved with political agendas.

For media outlets, the ability to attract viewers to their websites is necessary to generate online advertising revenue. So it is necessary to detect fake news.

#fake-news #machine-learning #naive-bayes #naturallanguageprocessing #fake-news-detection

Detecting Fake Political News Online

Learn how to use NLP and passive aggressive algorithm to spot fake news online.

Image for post

The booming development of online social networks in the recent years has spiked the volume of fake news for various commercial and political purposes across many online platforms.

We all have stumbled upon fake news of politicians dying, some leader giving out statement about temples and mosques and what not.

The misleading news has tremendously affected the readers and has brought a very negative effect on the offline society already.

Thus, an important goal in improving the trustworthiness of information on online social networks is to identify the fake news timely and correctly.

In this post I’ll be guiding you through building a **Fake news detection **classifier using Passive Agressive Algorithm.


The data-set used for the classifier can be downloaded here.

The data-set contains three columns namely:

  1. Title: Title of the news article
  2. Text: Content of the news article
  3. Label: Two labels- FAKE and REAL.

Image for post

A subset of the data-set

In a nutshell, using sklearn, a TfidfVectorizer is built on the data-set. Then, a Passive Aggressive Classifier is initialized and the model is fit. In the end, the accuracy score and the confusion matrix quantitatively explain how well the model fares.

#data-science #fake-news #machine-learning #deep learning

Apps For Short News – The Trend Is About To Arrive

Short news apps are the future, and if they will play a defining role in changing the way consumers consume their content and how the news presenters write their report.

If you want to build an app for short news then you can check out some professional app development companies for your app project As we head into the times where mobile applications and smartphones will be used for anything and everything, the short news applications will allow the reader to choose from various options and read what they want to read.

#factors impacting the short news apps #short news applications #personalized news apps #short news mobile apps #short news apps trends #short news apps

Ananya Gupta

1596018410

What Are The Benefits of AWS and Microsoft Azure ?

AWS Training and Certification causes you assemble and approve your cloud abilities so you can get increasingly out of the cloud.

Regardless of whether you are simply beginning, expanding on existing IT aptitudes, or honing your cloud information, AWS Certification online course can assist you with being progressively viable and accomplish more in the cloud.

With regards to sharpening your aptitudes and comprehension Microsoft Azure, the Microsoft Azure Certification course online is really justified, despite all the trouble. Undertakings over the globe are reclassifying the manner in which they work with versatile and secure cloud-empowered venture applications.The confirmation is intended for the Microsoft heap of items.

There is an expansive scope of points to browse in framework and engineer aptitudes. To turn into a MSCA, you need to pass two assessments and exhibit your abilities as a cloud overseer and your pathway to turning into a cloud planner.

Benefits of AWS are:

  1. Easy way to enter in AWS community: The AWS is So famous as easy way to enter in AWS community. AWS community share an Amazon certifies logo and digital badge with the expertise.

  2. Become God of Cloud: The AWS is So famous as become god of cloud. AWS is a secure Cloud Computing platform to individuals, companies and government.

  3. Expanding professional network: The AWS is So famous as expanding professional networks. It helps for developing professional networks in the community.

Microsoft Azure is the cloud based platform that provides services in domains like networking, database and developer tools that help to scale the business. Azure is offers a wide range of functionalities as analytics, storage, mobile and web applications.

Benefits of Azure are:

  1. Largest IaaS Cloud provider: Azure is the largest and secured IaaS cloud service provider with a vast Microsoft product. Azure is supports Linux based operating systems.

  2. Simple and easy learning tool: Microsoft Azure learning is simple and easy learning tool. It is a simple and easy tool that creates and develop cloud based local applications easily.

  3. Using of Virtual machines: Microsoft Azure helps to learn different types of virtual machines. These are used for management, configuration and monitoring.

#aws online course #aws online training #aws certification online #azure certification online #azure online training #azure online course