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portada Detecting Fake News: Nlp and Machine Learning in Action
Type
Physical Book
Publisher
Author
Language
English
Pages
52
Format
Paperback
ISBN13
9786208421328

Detecting Fake News: Nlp and Machine Learning in Action

Kirti Wanjale; Aditya Wanjale (Author) · Lap Lambert Academic Publishing · Paperback

Detecting Fake News: Nlp and Machine Learning in Action - Kirti Wanjale; Aditya Wanjale

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Synopsis "Detecting Fake News: Nlp and Machine Learning in Action"

It's no secret that social media platforms are proliferating at an unprecedented rate, and with internet access becoming increasingly ubiquitous, the dissemination of fake news has become a swift and effortless process. The ramifications of this phenomenon are profound, particularly in the realms of politics and education, where the impact of fake news can be significantly disruptive.In this research study, we will be using Natural Language Processing (NLP) to transform text- based news headlines into numerical vectors. We examined and contrasted two NLP methods, Bag of Words (BoW) and Term Frequency-Inverse Document Frequency (TF-IDF), to see how well they perform while using different ML algorithm to identify fake news.We will be using several machine learning classification algorithms, including Naïve Bayes, Logistic Regression, Random Forest, and Support Vector Machine. Our aim was to identify the most effective NLP technique for identifying fake news.

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