Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Detecting Fake News: NLP and Machine Learning in Action

Detecting Fake News: NLP and Machine Learning in Action

Wanjale, Kirti
Wanjale, Aditya

Paperback

General Education

ISBN10: 6208421322
ISBN13: 9786208421328
Publisher: LAP Lambert Academic Publishing
Published: Jan 10 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Wanjale, Kirti

View All

Also in

General Education

View All