Name: Detecting Fake News: Nlp and Machine Learning in Action (en Inglés)
SKU: 63929034
Price: 964.63 MXN
Availability: InStock
Author: Kirti Wanjale; Aditya Wanjale
ISBN: 9786208421328

portada Detecting Fake News: Nlp and Machine Learning in Action (en Inglés)

Detecting Fake News: Nlp and Machine Learning in Action (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Kirti Wanjale; Aditya Wanjale

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786208421328

Detecting Fake News: Nlp and Machine Learning in Action (en Inglés)

Kirti Wanjale; Aditya Wanjale (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Detecting Fake News: Nlp and Machine Learning in Action (en Inglés)"

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.