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

---
 static/sentiment-analysis/sentiment-analysis.ipynb | 170 ---------------------
 1 file changed, 170 deletions(-)
 delete mode 100644 static/sentiment-analysis/sentiment-analysis.ipynb

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

diff --git a/static/sentiment-analysis/sentiment-analysis.ipynb b/static/sentiment-analysis/sentiment-analysis.ipynb
deleted file mode 100644
index 2c0934c..0000000
--- a/static/sentiment-analysis/sentiment-analysis.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
-{
- "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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