From 7fac851fa3bc6d969d140a78e84c09eac115b88c Mon Sep 17 00:00:00 2001 From: swati-singh23 <139169646+swati-singh23@users.noreply.github.com> Date: Tue, 4 Jun 2024 19:32:09 +0530 Subject: [PATCH] First Commit --- Fake News Detection Using NLP and ML.ipynb | 788 +++++++++++++++++++++ news.zip | Bin 0 -> 12046622 bytes 2 files changed, 788 insertions(+) create mode 100644 Fake News Detection Using NLP and ML.ipynb create mode 100644 news.zip diff --git a/Fake News Detection Using NLP and ML.ipynb b/Fake News Detection Using NLP and ML.ipynb new file mode 100644 index 000000000..d4a3c2c45 --- /dev/null +++ b/Fake News Detection Using NLP and ML.ipynb @@ -0,0 +1,788 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "17b4b6f2", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd # Import the pandas library for data manipulation\n", + "from sklearn.feature_extraction.text import TfidfVectorizer # Import TF-IDF vectorizer for text feature extraction\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "73f10b99", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Read the CSV file containing news articles and labels into a pandas DataFrame\n", + "dataframe = pd.read_csv('news.csv')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5c2ea598", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + " | Unnamed: 0 | \n", + "title | \n", + "text | \n", + "label | \n", + "
---|---|---|---|---|
0 | \n", + "8476 | \n", + "You Can Smell Hillary’s Fear | \n", + "Daniel Greenfield, a Shillman Journalism Fello... | \n", + "FAKE | \n", + "
1 | \n", + "10294 | \n", + "Watch The Exact Moment Paul Ryan Committed Pol... | \n", + "Google Pinterest Digg Linkedin Reddit Stumbleu... | \n", + "FAKE | \n", + "
2 | \n", + "3608 | \n", + "Kerry to go to Paris in gesture of sympathy | \n", + "U.S. Secretary of State John F. Kerry said Mon... | \n", + "REAL | \n", + "
3 | \n", + "10142 | \n", + "Bernie supporters on Twitter erupt in anger ag... | \n", + "— Kaydee King (@KaydeeKing) November 9, 2016 T... | \n", + "FAKE | \n", + "
4 | \n", + "875 | \n", + "The Battle of New York: Why This Primary Matters | \n", + "It's primary day in New York and front-runners... | \n", + "REAL | \n", + "
PassiveAggressiveClassifier(max_iter=50)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
PassiveAggressiveClassifier(max_iter=50)
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