Verwandte Artikel zu Detecting Fake News: NLP and Machine Learning in Action
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 36,07
EUR 6,81 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerSuchergebnisse für Detecting Fake News: NLP and Machine Learning in Action
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: Best Price, Torrance, CA, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. SUPER FAST SHIPPING. Bestandsnummer des Verkäufers 9786208421328
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Detecting Fake News (Paperback)
Verlag:
LAP Lambert Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Paperback
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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 Naive Bayes, Logistic Regression, Random Forest, and Support Vector Machine. Our aim was to identify the most effective NLP technique for identifying fake news. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786208421328
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9786208421328
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9786208421328_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26404101282
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing Jan 2025, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Bestandsnummer des Verkäufers 9786208421328
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 409053053
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Detecting Fake News: NLP and Machine Learning in Action
Verlag:
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Softcover
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18404101288
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Detecting Fake News (Paperback)
Verlag:
LAP Lambert Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Paperback
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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 Naive Bayes, Logistic Regression, Random Forest, and Support Vector Machine. Our aim was to identify the most effective NLP technique for identifying fake news. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786208421328
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Detecting Fake News (Paperback)
Verlag:
LAP Lambert Academic Publishing, 2025
ISBN 10: 6208421322
ISBN 13: 9786208421328
Neu
Paperback
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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 Naive Bayes, Logistic Regression, Random Forest, and Support Vector Machine. Our aim was to identify the most effective NLP technique for identifying fake news. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786208421328
Anzahl: 1 verfügbar