Kirti Wanjale, Aditya Wanjale

Detecting Fake News: NLP and Machine Learning in Action

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 52
• Erscheinungstermin: 10. Januar 2025
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 96g
• ISBN-13: 9786208421328
• ISBN-10: 6208421322
• Artikelnr.: 73246603

Autorenporträt

Dr. Kirti Hemant Wanjale received her Ph.D degree from Faculty of Computer Engineering from SSSTUMS, Sehore MP. She is Currently Working as Professor, Department of Computer Engineering at Vishwakarma Institute of Technology Pune. She has 22 years of experience. Her main research interests are Wireless Sensor Networks, Internet of Things (IoT).