From 70baaeb4e78d12c329a03e929fd30d41730ed2b1 Mon Sep 17 00:00:00 2001
From: Mitja Felicijan <mitja.felicijan@gmail.com>
Date: Sun, 28 Aug 2022 05:39:44 +0200
Subject: Moved statis assets and converted all CSS to Tailwind

---
 .../sentiment-analysis/sentiment-analysis.ipynb    | 170 +++++++++++++++++++++
 1 file changed, 170 insertions(+)
 create mode 100644 static/assets/sentiment-analysis/sentiment-analysis.ipynb

(limited to 'static/assets/sentiment-analysis/sentiment-analysis.ipynb')

diff --git a/static/assets/sentiment-analysis/sentiment-analysis.ipynb b/static/assets/sentiment-analysis/sentiment-analysis.ipynb
new file mode 100644
index 0000000..2c0934c
--- /dev/null
+++ b/static/assets/sentiment-analysis/sentiment-analysis.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentiment analysis of Guardian World News articles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get articles from a website"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install rss parser dependency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install feedparser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parsing RSS feed for world news"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import feedparser\n",
+    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
+    "feed = feedparser.parse(feed_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "for item in feed.entries:\n",
+    "    # sanitize html\n",
+    "    item.description = re.sub('<[^<]+?>', '', item.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Vader Sentiment library and perform sentiment analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install vaderSentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "analyser = SentimentIntensityAnalyzer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sentiment_results = []\n",
+    "for item in feed.entries:\n",
+    "    sentiment_title = analyser.polarity_scores(item.title)\n",
+    "    sentiment_description = analyser.polarity_scores(item.description)\n",
+    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Matplotlib and visualize compound score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.rcParams['figure.figsize'] = (15, 3)\n",
+    "plt.plot(sentiment_results, drawstyle='steps')\n",
+    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
+    "plt.legend(['title', 'description'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
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