In this assignment, you will put together a writeup for the independent research report. The topic is Fake New Detection Using Machine Learning in Python. This writeup should contain the following...

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In this assignment, you will put together a writeup for the independent research report. The topic is Fake New Detection Using Machine Learning in Python. This writeup should contain the following information: · proposed research problem and some background information · summary of findings (highlight the ML aspects in particular) from recent 3 to 5 reference · publications on this problem or related work · examples of data source/datasets you will use for this work Please pay attention to writing criteria especially plagiarism, given that either word for word plagiarism or paraphrasing plagiarism are not allowed. This will be reviewed strictly by the grader. All publications and sources must be indicated and referenced in quotes using APA style. Please write 3 pages, 12 Times New Roman, Double, submit this in a Word Document. Submit all additional materials, data sources/datasets and references.
Answered 3 days AfterSep 15, 2021

Answer To: In this assignment, you will put together a writeup for the independent research report. The topic...

Bidusha answered on Sep 17 2021
152 Votes
Fake News Detection Using Machine Learning in Python    4
FAKE NEWS DETECTION USING MACHINE LEARNING IN PYTHON
Table of Contents
Background Information    3
Summary    3
Refe
rences    6
Background Information
Everyone relies on numerous online news sources in our current day, when the internet is omnipresent. As the usage of social networking sites like Facebook, Twitter, etc. has increased, news has travelled fast among millions of subscribers in a relatively short period of time. Misinformation would have far ramifications from creating skewed perceptions to affecting election outcomes to particular candidates' advantage. Spammers, on the other hand, rely on click-bait titles to earn income through ads. With the aid of Artificial Intelligence, Natural Language Processing, and Machine Learning, the researchers want to conduct binary classification on a variety of online news items that may be accessed. Users will be able to classify news as false or real and verify the validity of the website that publishes it, as part of their mission statement (IOP, 2021).
Summary
Because of their capacity to create significant social and national harm with harmful consequences, false news on social networks and other forms of media has become widespread. Detection of it is already the topic of a lot of study. To create a model of a product with supervised machine learning algorithm, that can classify fake news as true or false, using tools like python scikit-learn, NLP for textual analysis, various paper examines the research related to fake news detection and explores the traditional machine learning models to choose the best. After the text data has been tokenized and features have been...
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